A new wavelet based deblocking algorithm for compressed images

Author

Gao, Feng ; Li, Xiaokun ; Wee, William G.

Author_Institution

Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA

Volume

2

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

1745

Abstract

The paper addresses the problem of the deblocking of JPEG compressed images. A new efficient approach based on wavelet theory is introduced. The main idea is to use the dyadic wavelet to transform decoded blocked images into time-frequency space, then use an optimal interpolation technique to smooth high frequencies around the boundaries between adjacent blocks. Based on this idea, a new deblocking algorithm is derived. This algorithm is simple and easily implemented. Experiment shows that the algorithm improves not only visual quality, but also the peak signal-to-noise ratio (PSNR) of images.

Keywords

image restoration; interpolation; time-frequency analysis; wavelet transforms; JPEG compressed images; PSNR; blocking effects; deblocking algorithm; dyadic wavelet; peak signal-to-noise ratio; time-frequency space; visual quality; Continuous wavelet transforms; Convolution; Decoding; Discrete wavelet transforms; Image coding; Smoothing methods; Time frequency analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197074

Filename

1197074