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