Progressive Side Information Refinement with Non-Local Means Denoising in Distributed Video Coding
Date Issued
2012
Date
2012
Author(s)
Wang, Pin_Shiang
Abstract
Wyner–Ziv (WZ) video coding is a particular case of distributed video coding (DVC), the recent video coding paradigm based on the Slepian–Wolf and Wyner–Ziv theorems which exploits the source temporal correlation at the decoder and not at the encoder as in conventional predictive-based video coding. Until now, the coding efficiency of state-of-the-art WZ codecs is still far from that of the state-of-the-art prediction-based codecs, especially for high and complex motion contents, especially for the high and complex motion contents. It is mainly due to the poor quality of the side information (SI), which is an estimate of the original frame created at the decoder in the most popular WZ video codecs. This thesis proposes a progressive side information refinement scheme of transform domain WZ video coding, which is based on the denoising concept and integrated into the decoding process of a popular WZ video codec. The side information is progressively improved by explore both temporal and spatial similarity using non-local means (NLM) denoising algorithm as the decoding proceeds. The results obtained reveal gains up to 2.6dB in the RD performance against the performance for the same codec without the proposed technique for high motion sequences and long group of pictures (GOP) sizes.
Subjects
Distributed video coding
Wyner-Ziv video coding
side information refinement
non-local means
image denoising
video denoising
Type
thesis
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