Title :
Optimal subtractive dither for near-lossless compression
Author :
Klimesh, Matthew
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
Subtractive dither is a technique which may be used to reduce the occurrence of compression artifacts from near-lossless compression. Standard subtractive dither incurs a cost, however, in the form of an increase in rate and distortion, and by giving the reconstructed signal an overall grainy appearance. It is possible to compromise between the costs and benefits of dithering by using dither signals which tend to take on smaller values than the standard dither signal. For reasonable cost and benefit metrics, the optimal dither signals are shown to be those which are uniform on intervals of the form [-k/2,k/2], where kε[0,q] and q is the quantization step size. Additional results are given under more general assumptions
Keywords :
data compression; image coding; image reconstruction; optimisation; quantisation (signal); rate distortion theory; near-lossless compression; optimal subtractive dither; quantization step size; rate distortion theory; reconstructed signal; Cost function; Data compression; Image coding; Image reconstruction; Laboratories; Postal services; Propulsion; Quantization; Rate distortion theory; Space technology;
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-0592-9
DOI :
10.1109/DCC.2000.838162