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Pixels make up images. A bunch of different colored pixels are put together to make a digital photograph, or video where the pixels move around.

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Q: What is the relation between pixel and image?
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What is the relationship between pixel to pixel in image processing?

Image processing involves various operations on images. An image is a collection of pixels. Each pixel has its position and resolution.


How many pixels make up a grey-scale image?

There is no relation between the image size (pixel count) and the number of color or gray levels supported. Therefore there is no answer to this question.If your question is how many levels of gray does a grayscale image allow, please post it like this.


Smallest element in an electronic image?

a pixel is the smallest element in an electronic image


What is a Bitmat image?

Bitmap image is raster or pixel based image. Bitmap image is made up of pixels, every pixel in grid have its own position and color. Pixels are mapped to the pixel grid, that's why its name is Bitmap.


What is bit per pixel of binary image?

its store 1bit per pixel


What is a single point in an image?

Pixel


What is a standard pixel?

A pixel is one dot in the image. A 10 megapixel camera will have 10 million pixels that make up the image.


What is pixel pitch?

Pixel Pitch is the measurement of the smallest bit of data in a video image. The smaller the size of the pixels in an image, the greater the resolution.


What is a single point in an electronic image?

Pixel


What is the difference between intensity and density of pixel in image?

Intensity is the amount of light the pixel reproduces (how bright it is). Density refers to the amount of pixels that are used to encode an inch or an centimeter of the photograph.


What is smallest element in the electronic image?

a pixel is the smallest element in an electronic image


How an image is divided into number of shares in visual cryptography?

as a simple example assume you want divide a gray level secret image to two shares. Each pixel in the secret image is expanded to four subpixels in each share that consist of white and black so width and height of shares is twice of secret image. first share is an image wich has random pixels of black or white with equal probability. in second share, if corresponding pixel in main secret image is white then the pixel in second share is the same as first share and if pixel in the secret image is black, corresponding pixel in second share would be inverse of the same pixel in first share.