Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197074
