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For a digital photo, bit depth is the number of colors that can be shown in the image. Because the bits can only indicate one of 2 possible states (0 or 1), the number of colors can only be powers of 2. Some examples of bit depths (and the calculation of the decimal number for those of you who know exponents) for image files are: 2-bit (2^2 = 4 colors), 4-bit (2^4=16 colors), 8-bit (2^8=256 colors), 16-bit (2^16=65,536 colors), and 24-bit (2^24=16,777,216 colors).
#1 primary colors make additive colors
Positive would be more magnification, and negative would be less magnification. * * * * * No. M > 1 indicates that the image is bigger than the pre-image (and on the same side of the centre of magnification); 0 < M < 1 indicates that the image is smaller than the pre-image (and on the same side of the centre of magnification); -1 < M < 0 indicates that the image is smaller than the pre-image (and on the opposite side of the centre of magnification); M < -1 indicates that the image is larger than the pre-image (and on the opposite side of the centre of magnification). M = 0 means the image is point-sized and at the centre of magnification. M = 1 means the image coincides with the pre-image. M = -1 means that the image is the same size as the pre-image and on the opposite side.
character is an 8bit word also known as 1 byte. where as bit is referred to single bit among those 8 bit in a 1 byte (or character).
2/12 = 1/6. Use the example problem and image to understand better why...
For a digital photo, bit depth is the number of colors that can be shown in the image. Because the bits can only indicate one of 2 possible states (0 or 1), the number of colors can only be powers of 2. Some examples of bit depths (and the calculation of the decimal number for those of you who know exponents) for image files are: 2-bit (2^2 = 4 colors), 4-bit (2^4=16 colors), 8-bit (2^8=256 colors), 16-bit (2^16=65,536 colors), and 24-bit (2^24=16,777,216 colors).
One bit is 2 possible colors, black, 8bit has a possible of 256
Graphics are also often described by the number of bits used to represent each dot. A 1-bit image is monochrome; an 8-bit image supports 256 colors or grayscales; and a 24- or 32-bit graphic supports true color.
You are actually asking how many colors are possible in 8 bit per channel. 8 bit per channel means 256 colors, 1 bit= 2 colors, 2 bits= 4 colors, 3 bits= 8 colors, 4 bits= 16... 8bits= 256 colors. Since we have 3 channels in RGB color mode: Red, Green and Blue that means that we have 3x8= 24 bits per pixel in an image. 3x8 also means 256x256x256 colors possible. Number of possible colors in 8 bit per channel or 24 bits per pixel image is 256x256x256 colors or in particular exact number of possible colors is 16777216.
GIF format supports up to 8 bits per pixel, allowing a single image to reference a palette of up to 256 distinct colors chosen from the 24-bit RGB color space.JPEG files embed an ICC color profile (color space). Commonly used color profiles include sRGB and Adobe RGB which are often 24 bit (16.7 million colors). 255 255*255*255
Most modern digital cameras use 24 bits (8 bits per primary) to represent a color. But more or less can be used, depending on the quality desired. Many early computer graphics cards used only 4 bits to represent a color.
The 32-bit color offered by many current operating systems is actually 24-bits of color with 8-bits allocated to an alpha channel or data. This results in a color depth of 16,777,216 different colors. It is said that the human eye can only distinguish between 10 million different colors.
1 million colors
RGB-24 uses 1 byte for Red, Green and Blue respectively.256x256x256 or 2^24 different colorsRGB-32 uses 1 byte for Red, Green, Blue and Transparency/Alpha respectively. The number of possible colors is the same as RGB-24 since transparency does only specify how to over-impose the image and does not define a color property by itself.
This can vary wildly based on image format and other factors. For example, jpeg images can have smaller sizes (though lower quality) depending on how compressed they are. In the case of bitmaps, the amount of pixels that can fit into 100KB depends on its bit depth. A 1-bit 100K bitmap can fit 819,200 pixels. The 8-bit, 16-bit, 24-bit, and 32-bit bitmaps can fit 102,400, 51,200, 34,133, and 25,600 pixels, respectively. The general formula for how many pixels fit in an image of a certain size is as follows, for a bitmap: Pixels = [Size (in KB)] / [Bit Depth] x 8,192.
3 colors in each
High definition television is produced using 10 bit signals. The number of colors can therefore be as high as 1 billion. However, transmission to domestic receivers and most local interfaces operate only at 8 bit, reducing the number of colors to a mere 16 million. Despite the loss of almost 90% of the original color, this is still higher than most displays can reproduce so there is no visible difference between them. The use of 10 bit signals in the broadcast environment allows for editing and image processing to be carried out without any noticeable loss of quality. There are, as far as I know, no 10 bit capable domestic displays, so the viewer would not benefit from 10 signals if they were transmitted.