A new fuzzy adaptive perceptual image coding system

Author

El-Khamy, Said E. ; Ghaleb, Ibrahim ; El-Yamany, Noha A.

Author_Institution

Electr. Eng. Dept., Alexandria Univ., Egypt

fYear

2002

fDate

2002

Firstpage

326

Lastpage

335

Abstract

A new adaptive, perceptual image coding system in the framework of fuzzy logic is proposed. The image is decomposed into 8×8 blocks that are then subjected to the discrete cosine transform (DCT). The image DCT blocks are then classified using the fuzzy c-medians (FCMED) clustering algorithm into four fuzzy classes. Coding bits are then adaptively and perceptually allocated to the DCT coefficients in each class. DCT coefficients are then normalized, optimally quantized, coded, and transmitted, accompanied by their overhead information over a channel. The performance of the proposed system is evaluated using the peak signal-to-noise ratio (PSNR) measure and a just noticeable distortion (JND) based perceptual measure.

Keywords

adaptive codes; discrete cosine transforms; fuzzy logic; image classification; image coding; quantisation (signal); transform coding; visual perception; PSNR; adaptive coding; discrete cosine transform; fuzzy c-medians clustering algorithm; fuzzy logic; image classification; just noticeable distortion; peak signal-to-noise ratio; perceptual image coding; perceptual measure; Bit rate; Classification algorithms; Discrete cosine transforms; Distortion measurement; Fuzzy systems; Humans; Image coding; Image storage; PSNR; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National

Print_ISBN

977-5031-72-9

Type

conf

DOI

10.1109/NRSC.2002.1022639

Filename

1022639