DocumentCode :
867525
Title :
Perceptual coding of digital monochrome images
Author :
Tan, Damian M. ; Wu, Hong Ren ; Yu, ZhengHua
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
Volume :
11
Issue :
2
fYear :
2004
Firstpage :
239
Lastpage :
242
Abstract :
A novel perceptual image coder of gray level images is presented. This coder adopts the EBCOT coding structure employed in the JPEG2000 image coding standard , coupled with an advanced vision model based perceptual distortion measure for rate-distortion optimization to produce coded images with improved visual quality. The proposed coder maintains the EBCOT coding features such as scalability and is fully bitstream compliant with the JPEG2000 standard. Results of subjective evaluations, using comparative forced-choice subjective tests, demonstrated the superior performance of the proposed perceptual coder over the the EBCOT/JPEG2000 benchmark coders.
Keywords :
code standards; image coding; optimisation; rate distortion theory; EBCOT coding structure; EBCOT/JPEG2000 benchmark coders; JPEG2000 image coding standard; bitstream; digital monochrome images; forced-choice subjective tests; gray level images; human vision system; perceptual coding; perceptual distortion metric; rate-distortion optimization; vision modeling; visual quality; Australia; Brain modeling; Code standards; Distortion measurement; Frequency; Humans; Image coding; Optical distortion; Optical sensors; Rate-distortion;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2003.821730
Filename :
1261989
Link To Document :
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