Removing blocking effects using an artificial neural network
Signal Processing - Signal processing in UWB communications
Image compression based on a family of stochastic models
Signal Processing
Reduction of blocking artifacts in JPEG compressed images
Digital Signal Processing
Unified compression artifacts removal based on adaptive learning on activity measure
Digital Signal Processing
Design a deblocking filter with three separate modes in DCT-based coding
Journal of Visual Communication and Image Representation
Design of a Deblocking Filter for Both Objective and Subjective Metrics
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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
Journal of Visual Communication and Image Representation
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
An efficient adaptive de-blocking algorithm
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Adaptive variance based sharpness computation for low contrast images
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Image deblocking via sparse representation
Image Communication
Advanced algorithms and their parallel architectures for full-HD TV video display processing
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
A comparison of contrast measurements in passive autofocus systems for low contrast images
Multimedia Tools and Applications
| Hi-index | 0.01 |
One of the major drawbacks of the block-based DCT compression methods is that they may result in visible artifacts at block boundaries due to coarse quantization of the coefficients. We propose an adaptive approach which performs blockiness reduction in both the DCT and spatial domains to reduce the block-to-block discontinuities. For smooth regions, our method takes advantage of the fact that the original pixel levels in the same block provide continuity and we use this property and the correlation between the neighboring blocks to reduce the discontinuity of the pixels across the boundaries. For texture and edge regions, we apply an edge-preserving smoothing filter. Simulation results show that the proposed algorithm significantly reduces the blocking artifacts of still and video images as judged by both objective and subjective measures.