11/23/2023 0 Comments Convert 16 bit to 8 bit photoshop![]() So, why is it important to work in the higher bit depths for digital image editing if we don’t even see the difference? ![]() And as we just calculated even an 8 bits/channel photo already exceeds 16 million colors. When you look at a photo in 8 bits/channel and in 16 bits/channel color modes, even though there are plenty more colors in the 16 bits/channel image, it’s not very obvious to the naked eye. That is because according to Günter Wyszecki (1925 – June 22, 1985), German-Canadian mathematician/physicist who made important contributions to the fields of colorimetry, color discrimination, color order, and color vision, the human eye can only distinguish as many as 10 million colors. You can read more about the alpha-channel transparency here, although it is more of a graphic design and illustration matter, rather than photography. It supports transparency in the image (only PNG, BMP and PSD file formats support alpha-channel transparency). A 16 bits/channel photo would have = 48 bits /pixel, and so on.Ģ4-bit images can represent 16,777,216 colors, and 32-bit images in addition to having the same 16,777,216 colors in the RGB channels, also contain an additional channel, which is called alpha-channel. Each of these is known as a color channel and can have any range of values of color intensity depending on the bit depth. So here comes the main reason for the confusion – since there are three channels in a digital color image ( RGB = Red, Green and Blue), a photo that is 8 bits/channel (bits per channel) would have 24 (8 x 3) bits/pixel (bits per pixel) and the total of 16,777,216 colors available. So far, we have been only talking about grayscale images, but when it comes to color we are looking at even more significant numbers of colors available in digital images.Įach color in a digital image is made up of the three primary colors – Red, Green & Blue. ![]() The other aspect is how broad a range of colors can be expressed – the gamut, but that’s a topic for a separate article. The higher the number of bit depth, the higher the number of possible colors available in the image. Bit depth or color depth is only one aspect of color representation, expressing how finely levels of color can be expressed (a.k.a. color precision). We know 1-bit color depth (2 1 = 2 colors) as monochrome, it is just pure black and white pixels. If we look at a grayscale 8-bit image, even though there are no other colors but black and white again, there are 2 8 = 256 possible shades of gray, in other words, 256 different intensity values of each of these colors, that can be used in the image.Īnd in the same fashion in a 10-bit grayscale image there are 2 10 = 1,024 possible shades of gray between black and white, and in a 24-bit grayscale image there are 2 24 = 16,777,216.īit depth represents the total number of colors a digital image can contain. ![]() Think of it as Color Depth.īit depth is the number of bits (0’s and 1’s) used to indicate the color of a single pixel. Images with higher bit depths can display greater range of colors, since there are many bit combinations available per pixel. This is not to say that the image will make use of all the colors in the palette, but they can be used to specify necessary colors with a certain level of precision. Bit Depth is a metric of how many unique colors are in the color palette of an image that are used to represent each of the colors.
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