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How to choose a smartphone with a good camera. What is camera interpolation 16 mpx camera interpolation on android

The smartphone has an 8 MPix camera. What does interpolation up to 13 MPix mean?

Good day.

This means that your smartphone stretches the photo / image captured with an 8 MPix camera to 13 MPix. And this is done by means of the fact that the real pixels are moved apart and additional ones are inserted.

But, if you compare the quality of the image / photo taken at 13 MP and 8 MP with interpolation up to 13, then the quality of the second will be noticeably worse.

To put it simply, the smart processor adds its own pixels to the active pixels of the matrix when creating a photo, as if calculating the picture and drawing it up to a size of 13 megapixels .. At the output we have a matrix of 8 and a photo with a resolution of 13 megapixels. The quality does not improve much from this.

This means that the camera can take pictures up to 8 MPIX, but programmatically it can enlarge pictures up to 12 MPIX. This means it programmatically increases, but the image does not become better, the image will be exactly 8 MPIX. This is purely a trick of the manufacturer and such smartphones are more expensive.

This concept assumes that the camera of your device will still take photos on 8 MPIX, but now you can programmatically increase it to 13 MPIX. At the same time, the quality does not become better. It's just that the space between the pixels is clogged, that's all.

This means that in your camera, as there were 8 MPIX, they remain - no more and no less, and everything else is a marketing move, a scientific fool of the people in order to sell the product at a higher price and no more. This function worthless, the quality of the photo is lost during interpolation.

On chinese smartphones This is now used constantly, just a 13MP camera sensor costs much more than an 8MP one, which is why they put it at 8MP, but the camera application stretches the resulting image, as a result, the quality of these 13MP will be noticeably worse if you look at the original resolution.

In my opinion, this function is useless at all, since 8MP is quite enough for a smartphone, in principle, 3MP is enough for me, the main thing is that the camera itself is of high quality.

Camera interpolation, this is a trick of the manufacturer, they artificially raise the price of a smartphone.

If you have an 8 MPIX camera, then it can take a corresponding picture, interpolation does not improve the quality of the photo, it just increases the size of the photo to 13 megapixels.

The point is that the real camera in such phones is 8 megapixels. But with the help internal programs images are stretched to 13 megapixels. In fact, it doesn't get to the actual 13 megapixels.

Megapixel interpolation is software blurring. Real pixels are moved apart, and additional ones are inserted between them, with the color of the average value from the colors of the spaced ones. Nonsense, self-deception no one needs. Quality doesn't improve.

Interpolation is a way to find intermediate values
If this is all translated into a more human language, applicable to your question, then you get the following:
- the software can handle (enlarge, stretch)) files up to 13 MPIX.

Up to 13 MPix - it can be 8 MPix real, like yours. Or 5 MPix real. Software cameras interpolate graphic product cameras up to 13 MPix, not improving the image, but electronically increasing it. Simply put, like a magnifying glass or binoculars. The quality does not change.

What is camera interpolation?

All modern smartphones have built-in cameras that allow you to enlarge the images obtained using special algorithms. From a mathematical point of view, interpolation is a method of detecting intermediate values \u200b\u200bof a number from an available set of discrete parameters.

The interpolation effect is somewhat similar to the effect of a magnifying glass. Smartphone software does not increase image clarity or sharpness. It simply expands the picture to the required size. Some smartphone manufacturers write on the packaging of their products that the built-in camera has a resolution of "up to 21 megapixels". Most often we are talking about an interpolated image, which is of low quality.

Interpolation types

Nearest Neighbor Method

The method is considered basic and belongs to the category of the simplest algorithms. Pixel parameters are determined based on one nearest point. As a result of mathematical calculations, the size of each pixel is doubled. Using the closest pixel method does not require large computing power.

Bilinear interpolation

The pixel value is determined based on the data of the four nearest points captured by the camera. The result of the calculations is a weighted averaging of the parameters of the 4 pixels that surround the original point. Bilinear interpolation allows you to smooth transitions between color boundaries of objects. Images obtained using this method are significantly superior in quality to images interpolated by the nearest pixel method.

Bicubic interpolation

The color value of the desired point is calculated based on the parameters of the 16 nearest pixels. The points that are closest are given the maximum weight in the calculation. Bicubic interpolation is actively used by the software of modern smartphones and allows you to get a fairly high-quality image. The method requires significant power central processing unit and high-resolution built-in camera.

In order not to ask unnecessary questions:

Pros and cons

Science fiction films often show how a camera captures the face of a passer-by and transmits digital information to a computer. The machine enlarges the image, recognizes the photograph and finds the person in the database. In real life, interpolation does not add new detail to an image. It simply enlarges the original image using a mathematical algorithm, improving its quality to an acceptable level.

Interpolation defects

The most common defects that occur when scaling images are:

Stepping;
Blurriness;
Halo effect (halo).

All interpolation algorithms allow maintaining a certain balance of the listed defects. Reducing the aliasing will necessarily cause an increase in image blur and halo appearance. Increasing the sharpness of the image will lead to an increase in image blur, etc. In addition to the listed defects, interpolation can cause various graphic “noises” that can be observed at maximum image magnification. We are talking about the appearance of "random" pixels and textures unusual for the given subject.

Main characteristics

Matrix

A type
The matrix installed in the webcam can be of two types: CCD and CMOS.
Traditionally, CCD is considered to provide more high quality Images, better color rendering, less noise. However, the cost of such a matrix is \u200b\u200bmuch higher than another type of matrix.
CMOS-matrix is \u200b\u200bmanufactured according to the technology traditional for integrated circuits, so it costs less. It should be noted that modern CMOS sensors have almost caught up with their CCD counterparts in image quality.

Megapixels
from 0.1 to 16
The more light-sensitive elements (pixels) are located on the webcam matrix, the more accurate and detailed the image can be obtained.
The simplest models of webcams have a matrix of 0.1 million pixels, which allows you to get an image with a resolution of 352x288. This camera can only be used for communication via the Internet.
Cameras with a 0.3-megapixel matrix are capable of displaying 640x480 pixels. The picture when communicating via the Internet will be much better. In addition to video conferencing, such a camera can be used to shoot short videos.
Cameras with a resolution of 1.3-2 million pixels. can also be used as cameras and take photos with decent resolution.

Color depth
10 to 32 bit
The more bits are used to convey color, the more different shades the camera can display.
Cameras with 24-bit color depth (8-bit for each color) have the potential to provide excellent color reproduction. However, other parameters also affect the overall picture quality: properties of the camera lens, resolution of the photosensitive matrix, etc.
In some webcam models, manufacturers claim to support 32-bit color.

Resolution

Resolution (video)
The higher the maximum resolution of the webcam matrix in video recording mode, the more accurate and detailed the image can be obtained. Resolution - the number of dots that make up the image horizontally and vertically.
For those who plan to use a webcam only for video conferencing over the Internet, both the simplest models with a resolution of 352x288 and modifications with a higher resolution of 640x480 are suitable.
Among modern cameras, there are also models with even higher resolution. They can be used to record video at home.

Resolution (photo)
Resolution refers to the number of dots that make up the image horizontally and vertically. The higher the resolution of the webcam in photography mode, the more accurate and detailed the image can be obtained.
If you plan to use your webcam in photo mode, then pay attention to models with a resolution of 1280x1024 and 1600x1200.
The photo resolution of a webcam is often higher than its resolution in video transmission mode.

Interpolated Resolution (Video)
The higher the maximum interpolated resolution of the webcam in video recording mode, the more accurate and detailed the image can be obtained. Resolution - the number of dots that make up the image horizontally and vertically.

Interpolated resolution (photo)
The higher the maximum interpolated resolution of the webcam in photo capture mode, the more accurate and detailed the image can be obtained. Resolution - the number of dots that make up the image horizontally and vertically.
Interpolated (or artificially increased) resolution is obtained programmatically using mathematical algorithms. In this case, the amount of detail in the image remains unchanged. An interpolated resolution image usually looks slightly better than the original, but you shouldn't take large values \u200b\u200bof this parameter seriously.

Interpolated resolution in megapixels (photo)
from 1.2 to 20 Mpix
In some cases, manufacturers indicate not the vertical and horizontal resolution, but the number of pixels that make up the matrix with this resolution.

Frame frequency

Maximum
9 to 90 Hz
The maximum frame rate in video mode determines the quality of the video stream. With a slow frame rate, the image is updated not often enough and moving objects on the screen move in jerks.
At 15 frames / s on the screen, jerky movement is very noticeable; at 30 frames per second, the movement becomes smooth.
The frame rate in many cases depends on the resolution of the transmitted video. For example, at 352x288 a webcam is capable of creating a video stream at a frame rate of 30 Hz, while at a resolution of 640x480 the frame rate is reduced to 15 Hz.
It should be noted that the quality of the image transmitted over the Internet depends not only on the webcam itself, but also on the speed and reliability of the network connection.

For 352x288
15 to 60 Hz
Maximum frame rate in video mode at 352x288 resolution (See "Maximum frame rate" for details).

For 640x480
15 to 60 Hz
Maximum frame rate in video mode at 640x480 resolution (see "Maximum frame rate" for details).

For 1280x720
8 to 90 Hz
Maximum frame rate in video mode at 1280x720 resolution (See "Maximum frame rate" for details).

For 1280x1024
from 6 to 30 Hz
Maximum frame rate in video mode at a resolution of 1280x1024 (See "Maximum frame rate" for details).

For 1600x1200
5 to 30 Hz
Maximum frame rate in video mode at 1600x1200 resolution (See "Maximum frame rate" for details).

For 1920x1080
5 to 60 Hz
Maximum frame rate in video mode at 1920x1080 resolution (See "Maximum frame rate" for details).

Focusing

Automatic
The autofocus webcam delivers consistently clear and focused images. For example, if, while communicating on the Internet, a person accidentally moves away from the camera and leaves the field of focus, the autofocus will automatically reconfigure the optical system, and the image will be sharp again. It should be noted that the simplest models of webcams most often do not have this function.

Manual
To get a sharp and clear image, some webcam models are equipped with a manual focus function. For simple models, a ring on the camera lens is used for this. With "advanced" cameras, focus can be adjusted directly in the program, management work devices. These models often have an automatic focusing function (see "Automatic focusing"), while manual focusing is used in cases where the automation cannot cope with the task.

Zoom

Optic
4 to 10x
Some webcam models have a variable focal length lens.
Changing the value of the focal length leads to a visual "approach" or "removal" of the subject. The optical zoom ratio shows how many times the lens can zoom in and out. The larger this number, the more possibilities from the operator using the webcam.

Digital
from 2 to 10x
Some webcam models have a digital zoom function that allows you to magnify the image, which is equivalent to getting closer to your subject.
Digital image enlargement is performed programmatically by increasing the pixel size of the image. With a large matrix resolution, such an increase can be performed without a noticeable deterioration in image quality.
The zoom ratio shows how many times the lens can change the scale of the shooting.

Viewing angles and rotation

Lens angle of view
from 42 to 180 degrees
The angle of view of a webcam lens determines how much of the space is included in the frame. It depends on the size of the photosensitive matrix and the parameters of the camera lens.
The wide-angle lens (70-90 degree viewing angle) allows you to capture more objects without compromising image quality.

Tilt angle
from 25 to 270 degrees

Tilt angle up
15 to 60 degrees
Many models are designed with the ability to tilt the camera, which makes it possible to quickly redirect the lens in the desired direction. The larger the tilt angle, the more convenient it is to work with the camera.

Downward tilt angle
15 to 90 degrees
Many models are designed with the ability to tilt the camera, which makes it possible to quickly redirect the lens in the desired direction. The larger the tilt angle, the more convenient it is to work with the camera.

Horizontal rotation angle
from 55 to 360 degrees
Many models are designed to allow the camera to rotate horizontally while keeping the stand unchanged. Some webcams can be rotated 360 degrees around a vertical axis. The larger the angle of rotation, the more comfortable working with the camera.

Functionality

Connection
To connect a webcam to a computer, USB 1.1 or USB 2.0 interfaces are used.
For USB 1.1, the maximum data transfer rate is only 12 Mbps, which usually results in the 640x480 video transfer rate being limited to 15 frames per second. USB 1.1 can be found in the simplest webcam models.
USB 2.0 provides a transfer speed of 480 Mbps, which no longer imposes significant restrictions on the quality of the video image. For example, you can stream video at 640x480 pixels at 30 frames per second.

Wi-Fi
Webcam support Wi-Fi connections, thanks to which the user can broadcast the video on wireless network on a tablet, smartphone or computer, conduct online broadcasting and control the web-camera from the connected device.

Microphone
Depending on the model, the webcam may have a built-in microphone or an optional microphone. Some of the simplest models may not have a microphone.
If there is a built-in microphone in the webcam, the signal is transmitted via uSB interface together with the video signal, so there is no need for an additional cable. The microphone sensitivity is adjusted using the program that controls the operation of the webcam.
In some cases, the webcam does not have a built-in microphone, but it comes bundled. The main disadvantage of such a microphone is that it must be separately connected to the corresponding connector. sound card computer. Sometimes cameras are supplied with a headset rather than a separate microphone (see "Headset Included").
The simplest models may not have a microphone at all. To transfer sound, you will need to purchase a microphone or headset separately and connect this device to your sound card.

Mount on the monitor
In order to free up space on the table, many models of webcams can be mounted on the monitor using a special mount.

Mechanical tracking drive
The mechanical tracking drive rotates the camera using a special mechanism and automatically keeps the user's face, which is in the camera's field of view, in the center of the transmitted image.
For many models, the face tracking function is implemented using software (see "Face tracking function"). The range within which this function works is very limited. For mechanically driven models, user tracking is significantly better.

Quick photo button
The button on the webcam body for taking a photo is similar to the shutter button in a conventional camera. Thus, to turn a webcam into a camera, it is enough to point the lens at the subject, press the button and get a photo.

Face tracking function
The face tracking function automatically keeps the user's face in the camera's field of view in the center of the transmitted image. This simplifies the choice of camera location and improves the convenience of video conferencing.
For most models, the face tracking function is implemented using software. However, there are also cameras on the market in which the tracking of the user's face is performed using a special drive (see "Mechanical tracking drive").

Curtain
The design provided for the presence of a shutter on the camera lens will protect the lenses from dust, and the user from accidental / unforeseen recording.

Backlight
The built-in backlight is designed to improve images in low light conditions.

Compatibility

Windows compatible
Availability of drivers for working with operating systems from the Windows family.

MacOS compatibility
Availability of drivers for working with operating systems from the MacOS family.
The parameter will be important for those who plan to connect a webcam to an Apple computer (compatible with macOS). While Windows support almost all webcams, the manufacturers guarantee work with MacOS only for some.

Linux Compatibility
Availability of drivers for working with operating systems from the Linux family.
The parameter will be important for those who plan to connect a webcam to a Linux computer. While Windows support almost all webcams, manufacturers guarantee work with Linux only for some.

Compatible operating systems
Detailed list of compatible operating systems with name and version.

Additional Information

Case included
The cover will be useful for those who plan to take a webcam on trips.

Headset included
The headset is convenient to use for Internet communication. Headsets are often supplied with webcams that do not have a built-in microphone (see "Microphone").

Length of cable
from 0.45 to 5 m
The longer the cable connecting the webcam to the computer, the more freely you can move the webcam. If you plan on using your camera for home video filming, then a long cable will be helpful.

Overall dimensions

Width
from 20 to 185 mm

Height
from 15 to 236 mm
This parameter can be important for those who plan to take a webcam on trips.

Depth
from 9 to 183 mm
This parameter can be important for those who plan to take a webcam on trips.

Weight
from 23 to 350 g
This parameter can be important for those who plan to take a webcam on trips.

Interpolation of images occurs in all digital photographs at a certain stage, be it dematrization or scaling. It happens whenever you resize or unfold an image from one pixel grid to another. Image resizing is necessary when you need to increase or decrease the number of pixels, while repositioning can occur in a wide variety of situations: correcting lens distortion, changing perspective, or rotating an image.

Even if the same image is resized or scanned, the results can vary significantly depending on the interpolation algorithm. Since any interpolation is just an approximation, the image will lose some quality whenever it is interpolated. This chapter is designed to provide a better understanding of what affects the result - and thereby help you minimize any loss in image quality caused by interpolation.

Concept

The essence of interpolation is to use available data to obtain expected values \u200b\u200bat unknown points. For example, if you wanted to know what the temperature was at noon, but measured it at 11 am and at one o'clock, you can guess its value using linear interpolation:

If you had an extra dimension at half past eleven, you might notice that the temperature rose faster before noon, and use that extra dimension for quadratic interpolation:

The more temperature measurements you have around midday, the more complex (and expectedly more accurate) your interpolation algorithm can be.

Image resizing example

Image interpolation works in two dimensions and tries to achieve the best approximation in color and pixel brightness based on the values \u200b\u200bof the surrounding pixels. The following example illustrates how scaling works:

	planar interpolation

Original		before	after	no interpolation

Unlike fluctuations in air temperature and the ideal gradient above, pixel values \u200b\u200bcan change much more dramatically from point to point. As with the temperature example, the more you know about the surrounding pixels, the better the interpolation will work. This is why the results quickly deteriorate as the image is stretched, and in addition, interpolation can never add detail to the image that is not there.

Image rotation example

Interpolation also happens every time you rotate or change the perspective of an image. The previous example was deceiving because this is a special case in which interpolators usually work well. The following example shows how quickly image detail can be lost:

		Image degradation

Original	turn by 45 °	turn 90 ° (no loss)	2 turns 45 °	6 turns at 15 °

Rotating 90 ° is no waste because no pixels need to be placed on the border between the two (and therefore split). Notice how much of the detail is lost on the first turn, and how quality continues to decline on subsequent ones. This means that it follows avoid rotations as much as possible; if an uneven frame requires rotation, you should not rotate it more than once.

The above results use the so-called "bicubic" algorithm and show significant quality degradation. Notice how the overall contrast decreases as the color intensity decreases, how dark halos appear around the light blue. The results can be significantly better depending on the interpolation algorithm and the imaged subject.

Interpolation Algorithm Types

Commonly accepted interpolation algorithms can be divided into two categories: adaptive and non-adaptive. Adaptive methods vary depending on the subject of interpolation (sharp edges, smooth texture), whereas non-adaptive methods treat all pixels the same.

Non-adaptive algorithms include: nearest neighbor method, bilinear, bicubic, splines, cardinal sine function (sinc), Lanczos method and others. Depending on the complexity, they use 0 to 256 (or more) contiguous pixels for interpolation. The more adjacent pixels they include, the more accurate they can be, but this is achieved at the expense of a significant increase in processing time. These algorithms can be used for both unwrapping and image scaling.

Adaptive algorithms includes many commercial algorithms in licensed software such as Qimage, PhotoZoom Pro, Genuine Fractals and others. Many of them use different versions their algorithms (based on pixel-by-pixel analysis) when they detect the presence of a border - in order to minimize unsightly interpolation defects in places where they are most visible. These algorithms are primarily designed to maximize the defect-free detail of magnified images, so that some of them are not suitable for rotating or changing the perspective of an image.

Nearest Neighbor Method

It is the most basic of all interpolation algorithms and requires the least processing time, since it takes into account only one pixel - the one closest to the interpolation point. As a result, each pixel just gets bigger.

Bilinear interpolation

Bilinear interpolation considers a 2x2 square of known pixels surrounding the unknown. The weighted average of these four pixels is used as the interpolated value. As a result, the images look significantly smoother than the result of the nearest neighbor method.

The diagram on the left is for the case where all known pixels are equal, so the interpolated value is simply their sum divided by 4.

Bicubic interpolation

Bicubic interpolation goes one step further than bilinear interpolation by considering an array of 4x4 surrounding pixels - 16 pixels in total. different distances from an unknown pixel, the nearest pixels are weighted more in the calculation. Bicubic interpolation produces significantly sharper images than the previous two methods, and is arguably optimal in terms of processing time and output quality. For this reason, it has become standard for many image editing programs (including Adobe Photoshop), printer drivers, and built-in camera interpolation.

Higher-order interpolation: splines and sinc

There are many other interpolators that take into account more surrounding pixels and thus are more computationally intensive. These algorithms include splines and cardinal sine (sinc), and they retain most of the image information after interpolation. As a result, they are extremely useful when an image requires several rotations or perspective changes in separate steps. However, for single magnifications or rotations, such higher-order algorithms give little visual improvement while significantly increasing processing time. Moreover, in some cases, the cardinal sine algorithm performs worse on a smooth section than bicubic interpolation.

Observed interpolation defects

All non-adaptive interpolators try to find the optimal balance between three unwanted defects: boundary halos, blurring, and aliasing.

Even the most advanced non-adaptive interpolators are always forced to increase or decrease one of the above defects at the expense of two others - as a consequence, at least one of them will be noticeable. Notice how the boundary halo looks like a de-sharpening defect with an unsharp mask, and how it enhances the apparent sharpness by sharpening it.

Adaptive interpolators may or may not create the above defects, but they can also generate textures that are unusual for the original image or single pixels at large scales:

On the other hand, some "defects" of adaptive interpolators can also be considered as advantages. Since the eye expects to see in finely textured areas such as foliage details down to the smallest detail, such designs can deceive the eye from a distance (for certain types of material).

Smoothing

Anti-aliasing, or anti-aliasing, is a process that attempts to minimize the appearance of jagged or jagged diagonal edges that give text or images a rough digital look:

	300%

Anti-aliasing removes these jaggies and gives the impression of softer edges and higher resolution. It takes into account how much the ideal border overlaps adjacent pixels. A stepped border is simply rounded up or down with no intermediate value, while a smooth border produces a value proportional to how much of the border falls into each pixel:

An important consideration when magnifying images is to prevent excessive aliasing due to interpolation. Many adaptive interpolators detect edges and adjust to minimize aliasing while maintaining edge sharpness. Since the smoothed border contains information about its position at more high definition, it is quite possible that a powerful adaptive (border-determining) interpolator will be able to at least partially reconstruct the border when zoomed in.

Optical and digital zoom

Many compact digital cameras can perform both optical and digital zoom (zoom). Optical zoom is achieved by moving the zoom lens so that the light is amplified before reaching the digital sensor. In contrast, digital zoom degrades the quality because it simply interpolates the image after the sensor has received it.


optical zoom (10x)		digital zoom (10x)

Even though a photo using digital zoom contains the same number of pixels, its detail is distinctly less than when using the optical zoom. Digital zoom should be almost completely eliminatedminus when it helps to display a distant subject on your camera's LCD screen. On the other hand, if you usually shoot in JPEG and want to crop and enlarge the image later, digital zoom has the advantage that it is interpolated before any compression artifacts are introduced. If you find that you need digital zoom too often, buy a teleconverter, or better yet, a long focal length lens.

P2P camera - An IP camera containing software that allows you to identify it and connect to the camera remotely using a unique number (ID number) without using a static IP address or functions such as DDNS and UPnPct. P2P cameras have been designed to make it easy for the general non-professional to set up remote camera access.

How P2P Camera Works

When a p2p camera is connected to the Internet (via a router or 3G connection), the camera automatically sends a request to a remote server, which identifies the camera by its unique ID number. To access the camera and view the video, the user needs to install on the device (computer or mobile devices) a special application from the developer of the IP camera. IN this annex the user enters the camera's ID number (or photographs the camera's QR code so as not to enter the code manually), after which he can view the video from the camera online, view the video archive from the SD card, control the PTZ device and use other functions. The server in this case acts as an intermediary connecting the IP camera and the user's device directly.

Why P2P technology is needed

This technology is designed to make the installation of an IP camera as easy as possible. end user... Without this technology, for remote access to the camera, the user needs to connect static IP address or have special skills. In the case of P2P cameras, the average user spends no more than 10 minutes on installing the camera and setting up remote viewing.

Applications of P2P cameras

P2P cameras allow you to get a complete video surveillance system with remote access from anywhere in the world and easy to install for little money. The main scopes of P2P cameras:

surveillance of a country house and / or plot
apartment security monitoring
observation of pets
small business security and point of sale surveillance
observation of patients
use in state and municipal institutions, etc.

P2P camera design and manufacturing companies

The world leader in the production of P2P cameras is Cisco.

What does "Interpolation 5.0MP" and "Interpolation 8.0MP" mean?

In the description of the DOOGEE X5 smartphone, I found an interesting and, at the same time, not clear point:
Dual Cameras: 2.0MP (5.0MP Interpolation) Front Camera; 5.0MP (8.0MP interpolation) Rear camera with flash and auto focus.

What does "Interpolation 5.0MP" and "Interpolation 8.0MP" mean?
Really, how many megapixel cameras - 2 and 5 megapixel or 5 and 8 megapixel?

Living creature

Means "FUCKING" ... shitty cameras are presented as high-quality ... a 2MP camera programmatically gives a 5MP image ... they are trying to sell you a fake ... interpolation is not used in the original DVRs ...

Vladssto

This means that the camera physically has a real resolution, say 5MP, and the smartphone has software that pushes the neighboring pixels and draws another pixel in color between them, something in between the neighboring ones, and the output is already a photo with a resolution of 8MP.
This does not particularly affect the quality, just a photo with a high resolution can be closer, view the details

The smartphone has an 8 MPix camera. What does interpolation up to 13 MPix mean?

Sergey 5

Up to 13 MPix - it can be 8 MPix real, like yours. Or 5 MPix real. The camera software interpolates the graphic product of the camera up to 13 MPix, not enhancing the image, but electronically enlarging it. Simply put, like a magnifying glass or binoculars. The quality does not change.

Consumer

Violet a

Camera interpolation, this is a trick of the manufacturer, they artificially raise the price of a smartphone.

If you have an 8 MPIX camera, then it can take a corresponding picture, interpolation does not improve the quality of the photo, it just increases the size of the photo to 13 megapixels.

USSR

Mastermiha

On Chinese smartphones, this is now used constantly, just a 13MP camera sensor costs much more than 8MP, which is why they put it at 8MP, but the camera application stretches the resulting image, as a result, the quality of these 13MP will be noticeably worse if you look at the original resolution ...

In my opinion, this function is useless at all, since 8MP is quite enough for a smartphone, in principle, 3MP is enough for me, the main thing is that the camera itself is of high quality.

Azamatik

Good day.

This means that your smartphone stretches the photo / image captured with an 8 MPix camera to 13 MPix. And this is done by moving the real pixels apart and inserting additional ones.

But, if you compare the quality of the image / photo taken at 13 MP and 8 MP with interpolation up to 13, then the quality of the second will be noticeably worse.

Doubloon

This means that in your camera, as there were 8 MPIX, they remain - no more and no less, and everything else is a marketing move, a scientific fool of the people in order to sell the product at a higher price and no more. This function is useless, the quality of the photo is lost during interpolation.

Moreljuba

This concept assumes that the camera of your device will still take photos on 8 MPIX, but now you can programmatically increase it to 13 MPIX. At the same time, the quality does not become the best. It's just that the space between the pixels is clogged, that's all.

Gladius74

Interpolation is a way to find intermediate values

If this is all translated into a more human language, applicable to your question, then you get the following:

the software can handle (enlarge, stretch)) files up to 13 MPIX.

Marlena

The point is that the real camera in such phones is 8 megapixels. But with the help of internal programs, the image is stretched to 13 megapixels. In fact, it doesn't get to the actual 13 megapixels.

Type