TY - JOUR
T1 - Simultaneous coding artifact reduction and sharpness enhancement for block-based compressed images and videos
AU - Shao, Ling
N1 - Published online 3-5-2008
PY - 2008/7
Y1 - 2008/7
N2 - In this paper, an efficient least mean square (LMS) optimization algorithm based on the ordering of pixels is proposed for simultaneous sharpness enhancement and coding artifact reduction. The pixels in a filter aperture are ordered according to their spatial distances and intensity deviations to the central pixel. The optimized filter coefficients for the ordered pixels are obtained by training on a dataset that is composed of the original images and the compressed blurred versions of the original images. The pixel ordering procedure makes the algorithm more efficient for training and much cheaper in terms of classification than other LMS techniques. Experimental results show the superior performance of the proposed algorithm to the state-of-the-art classification-based techniques.
AB - In this paper, an efficient least mean square (LMS) optimization algorithm based on the ordering of pixels is proposed for simultaneous sharpness enhancement and coding artifact reduction. The pixels in a filter aperture are ordered according to their spatial distances and intensity deviations to the central pixel. The optimized filter coefficients for the ordered pixels are obtained by training on a dataset that is composed of the original images and the compressed blurred versions of the original images. The pixel ordering procedure makes the algorithm more efficient for training and much cheaper in terms of classification than other LMS techniques. Experimental results show the superior performance of the proposed algorithm to the state-of-the-art classification-based techniques.
KW - Coding artifacts reduction
KW - Sharpness enhancement
KW - Least mean square optimization
KW - Adaptive filter
KW - Classification
U2 - 10.1016/j.image.2008.04.011
DO - 10.1016/j.image.2008.04.011
M3 - Article
SN - 0923-5965
VL - 23
SP - 463
EP - 470
JO - Signal Processing: Image Communication
JF - Signal Processing: Image Communication
IS - 6
ER -