Content deleted Content added
Magioladitis (talk | contribs) m →References: clean up using AWB (8481) |
Entire article references one dead link |
||
Line 1:
{{Refimprove}}
'''Quantization''', involved in [[image processing]], is a [[lossy compression]] technique achieved by compressing a range of values to a single quantum value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital [[image]] makes it possible to reduce its file size. Specific applications include [[Discrete cosine transform|DCT]] data quantization in [[JPEG]] and [[Discrete wavelet transform|DWT]] data quantization in [[JPEG 2000]].
Line 12 ⟶ 14:
The human eye is fairly good at seeing small differences in [[brightness]] over a relatively large area, but not so good at distinguishing the exact strength of a high frequency (rapidly varying) brightness variation. This fact allows one to reduce the amount of information required by ignoring the high frequency components. This is done by simply dividing each component in the frequency ___domain by a constant for that component, and then rounding to the nearest integer. This is the main lossy operation in the whole process. As a result of this, it is typically the case that many of the higher frequency components are rounded to zero, and many of the rest become small positive or negative numbers.
As human vision is also more sensitive to [[luminance]] than [[chrominance]], further compression can be obtained by working in a non-RGB color space which separates the two (e.g., [[YCbCr]]), and quantizing the channels separately.<ref name="wiseman">John Wiseman, ''An Introduction to MPEG Video Compression'', http://www.john-wiseman.com/technical/MPEG_tutorial.htm, retrieved 6 Nov 2010.{{dead link|date=November 2012|url=http://www.john-wiseman.com/technical/MPEG_tutorial.htm}}</ref>
=== Quantization matrices ===
| |||