A new DCT-based just-noticeable distortion estimator for images

Author

Zhang, X.H. ; Lin, W.S. ; Xue, P.

Author_Institution

Sch. of EEE, Nanyang Technol. Univ., Singapore

Volume

1

fYear

2003

fDate

15-18 Dec. 2003

Firstpage

287

Abstract

Just-noticeable distortion (JND) based on human visual characteristics provides a good means to reflect the tolerance of image distortion with respect to human observers, for both data compression and quality measurement. In this paper, various existing JND models are surveyed and the typical models are benchmarked based on a uniform criterion. A new model is then developed and tested for different types of images. Experiments and the associated subjective tests show the improved performance of the proposed scheme over the existing models for luminance adaptation (especially in dark regions) and masking effect in edge regions.

Keywords

data compression; discrete cosine transforms; distortion; image coding; data compression; discrete cosine transforms; human visual characteristics; image distortion; just-noticeable distortion estimator; quality measurement; Adaptation model; Benchmark testing; Data compression; Discrete cosine transforms; Distortion measurement; Frequency; Humans; Psychology; Video compression; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on

Print_ISBN

0-7803-8185-8

Type

conf

DOI

10.1109/ICICS.2003.1292461

Filename

1292461