Perceptual coding of digital monochrome images

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 impr...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 11; no. 2; pp. 239 - 242
Main Authors Tan, D.M., Hong Ren Wu, ZhengHua Yu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Australia
Benchmarking
Brain modeling
Code standards
Coders
Coding
Distortion
Distortion measurement
Frequency
Humans
Image coding
Optical distortion
Optical sensors
Optimization
Rate-distortion
Visual
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2003.821730