Filter evaluation in image deblocking by wavelet thresholding

Author

Rangsanseri, Y. ; Dachasilaruk, S.

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

1

fYear

1999

fDate

1999

Firstpage

613

Abstract

Blockiness occurs when using compression techniques based a block discrete cosine transform (BDCT) at high compression ratios. An approach for reducing the blockiness is based on wavelet thresholding. We evaluate various types of wavelet filters for use in this deblocking technique. The evaluation criteria used include the peak signal-to-noise ratio (PSNR), edge variance (EV) and visual performance. The results show that, among the wavelets studied, the Coiflet-5 filters give best performance for the deblocking purpose

Keywords

data compression; filtering theory; image coding; transform coding; wavelet transforms; Coiflet-5 filters; PSNR; block discrete cosine transform; blockiness reduction; compression techniques; edge variance; filter evaluation; high compression ratios; image deblocking; peak signal-to-noise ratio; performance; visual performance; wavelet filters; wavelet thresholding; Bit rate; Codecs; Degradation; Discrete cosine transforms; Filters; Image coding; Image storage; PSNR; Transform coding; Visual communication;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818489

Filename

818489