TY - JOUR
T1 - Correlation based universal image/video coding loss recovery
AU - Wu, Jinjian
AU - Lin, Weisi
AU - Shi, Guangming
AU - Xiao, Jimin
N1 - Funding Information:
This work is supported by the Major State Basic Research Development Program of China (973 Program, No.2013CB329402), the Research Fund for the Doctoral Program of Higher Education (No. 20130203130001 and 20130203120009), the NSF of China (Nos. 61227004 and 61033004 ), and the Fundamental Research Funds for The Central Universities (No. JB140227).
PY - 2014/10
Y1 - 2014/10
N2 - Coding artifacts are annoying in highly compressed signals. Most of the existing artifact reduction methods are designed for one specific type of artifacts, codecs, and bitrates, which are complex and exclusive for one type of artifact reduction. Since both the compressed image/video and the coding error contain information of the original signal, they are highly correlated. Therefore, we try to recover some lost data based on the correlation between the compressed signal and the coding error, and introduce a novel and universal artifact reduction method. Firstly, according to the spatial correlation among pixels, a pixel-adaptive anisotropic filter is designed to reconstruct the distorted signal. Next, a globally optimal filter is designed to further recover the coding loss. Experimental results demonstrate that within an extensive range of bitrates, the proposed method achieves about 0.8 dB, 0.45 dB, 0.3 dB, and 0.2 dB on average of PSNR improvement for JPEG, MPEG4, H.264/AVC, and HEVC compressed signals, respectively.
AB - Coding artifacts are annoying in highly compressed signals. Most of the existing artifact reduction methods are designed for one specific type of artifacts, codecs, and bitrates, which are complex and exclusive for one type of artifact reduction. Since both the compressed image/video and the coding error contain information of the original signal, they are highly correlated. Therefore, we try to recover some lost data based on the correlation between the compressed signal and the coding error, and introduce a novel and universal artifact reduction method. Firstly, according to the spatial correlation among pixels, a pixel-adaptive anisotropic filter is designed to reconstruct the distorted signal. Next, a globally optimal filter is designed to further recover the coding loss. Experimental results demonstrate that within an extensive range of bitrates, the proposed method achieves about 0.8 dB, 0.45 dB, 0.3 dB, and 0.2 dB on average of PSNR improvement for JPEG, MPEG4, H.264/AVC, and HEVC compressed signals, respectively.
KW - Artifact reduction
KW - Coding loss recovery
KW - Correlation
KW - Global optimization
KW - Image/Video coding
KW - Pixel-adaptive
KW - Reconstruction
KW - Structural self-similarity
UR - http://www.scopus.com/inward/record.url?scp=84905588828&partnerID=8YFLogxK
U2 - 10.1016/j.jvcir.2014.06.012
DO - 10.1016/j.jvcir.2014.06.012
M3 - Article
AN - SCOPUS:84905588828
SN - 1047-3203
VL - 25
SP - 1507
EP - 1515
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
IS - 7
ER -