POCS-based blocking artifacts suppression using a smoothness constraint set with explicit region modeling

Authors:
A. W.-C. Liew;Hong Yan;Ngai-Fong Law
Affiliations:
Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, China;-;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
2005

Citing 0
Cited 7

Adaptive partition size temporal error concealment for H.264 using weighted double-sided EBME minimization

Image Communication
Short Communication: Efficient quadtree based block-shift filtering for deblocking and deringing

Journal of Visual Communication and Image Representation
Reconstructing videos from multiple compressed copies

IEEE Transactions on Circuits and Systems for Video Technology
Video enhancement from multiple compressed copies in transform domain

Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints

Computational Optimization and Applications
Implementation and Optimization of an Enhanced PWD Metric for H.264/AVC on a TMS320C64 DSP

Journal of Signal Processing Systems
Perceptually optimized blind repair of natural images

Image Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is well known that low bit rate block-based discrete cosine transform coded image exhibits visually annoying coding artifacts. In this paper, we proposed a projection onto convex sets (PCOS)-based deblocking algorithm using a novel region smoothness constraint set for graphic images containing objects with smooth regions. The smoothness constraint set is obtained by an explicit modeling of smooth regions in the image using a spatially adaptive thin-plate spline. In contrast to most deblocking algorithms which enforce smoothness just around the 8×8 block boundaries, our algorithm enforces smoothness in regions which could possibly span several blocks. We showed that convergence of our algorithm could be reached within one iteration. The performance of the proposed algorithm is evaluated visually and quantitatively in term of peak signal-to-noise ratios and the mean squared difference of slope metric, which measures the impact of the blocking effects, for several graphic images. The results show that our algorithm can effectively suppress blockiness in smooth regions while still preserving the sharpness of object edges.