Title :
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
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;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818489
