Here we need to discuss some left topics in image processing Which are briefly explained below:-
Binary Images:-Binary image is a digital image which has only two possible values for each pixel.It means each pixel is stored in one bit.So we can easily say that this type of images are Black & white are monochromatic.
8-bit Color Image:-8-bit color images are having 8-bit in one pixel .It means every pixel is stored in one byte & the maximum no of colors that can be generated are 256.In 24-bit color image we can easily understand the RGB channel distribution because there is one byte for each channel. But here is 8 bit or 1 byte reserved for all three channels .So here is only two bit for blue color channels & 3 bits for Red & Green Channels.
Deep Colors:- 30/36/48 -bit color images are called deep color images .They are used with sRGB,xvYcc & YCbCr.
* 24-bit images are called True color images .They use 2^24 colors .
*15/16 -bit color images are called high color images.
*In each color model we can use 2^n possible color values where n is the value of color depth.It means if there is a color image of 8-bit then we can use 2^8=256 colors in that image.
False colors:-False colors are usually having 256 shades with no relation with the real colors of original images .These images are used artificially colorized the grayscale image to reveal the pixel information .
False colors are used mainly in scientific applications like astronomy,radioastronomy,satellite land imaging,thermography,study of materials ,tomography &magnetic resonance imaging in medicine.
Today ,I wrote a program for false color in image it is the output of reducing a char value reducing to 255. So It is easily clear with 24-bit input & output images of this program.
Input Image:-
Binary Images:-Binary image is a digital image which has only two possible values for each pixel.It means each pixel is stored in one bit.So we can easily say that this type of images are Black & white are monochromatic.
8-bit Color Image:-8-bit color images are having 8-bit in one pixel .It means every pixel is stored in one byte & the maximum no of colors that can be generated are 256.In 24-bit color image we can easily understand the RGB channel distribution because there is one byte for each channel. But here is 8 bit or 1 byte reserved for all three channels .So here is only two bit for blue color channels & 3 bits for Red & Green Channels.
Deep Colors:- 30/36/48 -bit color images are called deep color images .They are used with sRGB,xvYcc & YCbCr.
* 24-bit images are called True color images .They use 2^24 colors .
*15/16 -bit color images are called high color images.
*In each color model we can use 2^n possible color values where n is the value of color depth.It means if there is a color image of 8-bit then we can use 2^8=256 colors in that image.
False colors:-False colors are usually having 256 shades with no relation with the real colors of original images .These images are used artificially colorized the grayscale image to reveal the pixel information .
False colors are used mainly in scientific applications like astronomy,radioastronomy,satellite land imaging,thermography,study of materials ,tomography &magnetic resonance imaging in medicine.
Today ,I wrote a program for false color in image it is the output of reducing a char value reducing to 255. So It is easily clear with 24-bit input & output images of this program.
Input Image:-
False Color Image
8-bit Input Image
Negative Or False Color image
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