DocumentCode :
1099026
Title :
Quantization error and dithering
Author :
Blinn, James F.
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Volume :
14
Issue :
4
fYear :
1994
fDate :
7/1/1994 12:00:00 AM
Firstpage :
78
Lastpage :
82
Abstract :
Digital storage and transmission promise noise-free images, but it is important to keep in mind that even digital is not perfect. Digital images have their own sources of noise: round-off error and quantization error. Whenever you do any sort of image arithmetic, such as contrast enhancement or compositing, you get roundoff error. In fact, since the arithmetic is often done in only X-bit accuracy, sometimes the round-off error can be substantial. You get quantization error, on the other hand, whenever you go from an analog signal to a digital signal or whenever you go from a high color-resolution signal (for example, 24 bits per pixel) to a low resolution signal (for example, 8 bits per pixel). The author considers the quantization error from analog to digital.<>
Keywords :
data compression; image coding; signal processing; analog signal; contrast enhancement; digital signal; high color-resolution signal; image arithmetic; image processing; low resolution signal; noise; noise-free images; quantization error; round-off error; Arithmetic; Computer errors; Digital images; Frequency; Image sampling; Image storage; Pixel; Quantization; Roundoff errors; Signal resolution;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/38.291534
Filename :
291534
Link To Document :
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