Title :
Transform-domain Wiener filtering for H.264/AVC video encoding and its implementation
Author :
Song, Byung Cheol ; Kim, Nak Hoon ; Chun, Kang Wook
Author_Institution :
Digital Media R&D Center, Samsung Electron. Co. Ltd., Suwon, South Korea
Abstract :
For coding efficiency as well as noise reduction, efficient de-noising needs to be performed prior to video encoding. This paper proposes a transform-domain Wiener filtering scheme in an H.264/AVC video encoder. We show that the generalized Wiener filtering for each integer-transformed block is equivalent to multiplication of multiplication factor (MF) in a block with a proper filter coefficient matrix in a quantization process. Also, we implement efficiently the proposed scheme by employing several predetermined modified MF´s for quantization. Experimental results show that the proposed de-noising scheme provides outstanding coding efficiency as well as noise reduction in an H.264/AVC video encoder.
Keywords :
Wiener filters; filtering theory; image denoising; matrix algebra; transform coding; video coding; H.264; denoising scheme; filter coefficient matrix; integer-transformed block; multiplication factor; noise reduction; quantization process; transform-domain Wiener filtering scheme; video encoding; Additive noise; Automatic voltage control; Discrete cosine transforms; Encoding; Filtering; Noise reduction; Quantization; Video coding; Video sequences; Wiener filter;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530445