Image deblocking by the dual adaptive FIR Wiener filter and overcomplete representation

Author

Zhang, Renqi ; Fong, Yiu-Leung ; Cham, Wai-Kuen

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China

fYear

2009

fDate

8-10 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Blocking artifacts exist in the block-based discrete cosine transform (DCT) compressed images and video sequences in low bit rate compression. Based on the minimum mean-square-error (MMSE) criterion, we have developed a dual adaptive FIR Wiener (DAW) filter previously. In this paper, the DAW filter is then extended to form the overcomplete dual adaptive Wiener (OCDAW) filter by applying to the overcomplete DCT coefficients. Experimental results show that OCDAW filter, in most cases, outperforms state-of-the-art image deblocking algorithms in both fidelity and image visual quality.

Keywords

FIR filters; adaptive filters; data compression; discrete cosine transforms; image sequences; least mean squares methods; video coding; MMSE criterion; discrete cosine transform; dual adaptive FIR Wiener filter; image compression; image deblocking; image visual quality; minimum mean-square-error criterion; overcomplete representation; video sequences; Adaptive filters; Additive noise; Bit rate; Discrete cosine transforms; Finite impulse response filter; Image coding; PSNR; Quantization; Transform coding; Wiener filter; Blocking artifacts; DAW; DCT coefficients; FIR Wiener filter; OCDAW;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Conference_Location

Macau

Print_ISBN

978-1-4244-4656-8

Electronic_ISBN

978-1-4244-4657-5

Type

conf

DOI

10.1109/ICICS.2009.5397737

Filename

5397737