Journal ArticleDOI
Removing the blocking artifacts of block-based DCT compressed images
Ying Luo,Rabab K. Ward +1 more
TLDR
This work proposes an adaptive approach which performs blockiness reduction in both the DCT and spatial domains to reduce the block-to-block discontinuities and takes advantage of the fact that the original pixel levels in the same block provide continuity.Abstract:
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.read more
Citations
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Journal ArticleDOI
Enhancement of Color Images by Scaling the DCT Coefficients
TL;DR: The proposed technique, computationally more efficient than the spatial domain based method, is found to provide better enhancement compared to other compressed domain based approaches.
Journal ArticleDOI
Image deblocking via sparse representation
TL;DR: Experimental results indicate that the proposed deblocking method is very effective in dealing with the image deblocking problem from compressed images.
Journal ArticleDOI
Efficient Image Deblocking Based on Postfiltering in Shifted Windows
TL;DR: It is indicated that there exists strong correlation between the optimal mean squared error threshold and the image quality factor Q, which is selected in the encoding end and can be computed from the quantization table embedded in the JPEG file.
Journal ArticleDOI
Adaptive non-local means filter for image deblocking
TL;DR: A novel deblocking algorithm is proposed to remove the blocking artifacts in images compressed by block discrete cosine transform (BDCT), using an adaptive non-local means filter, whose estimation is obtained as a weighted sum of neighborhood blocks.
Proceedings ArticleDOI
An object-based video coding framework for video sequences obtained from static cameras
TL;DR: This paper presents a novel object-based video coding framework for videos obtained from a static camera that does not require explicit 2D or 3D models of objects and hence is general enough to cater for varying types of objects in the scene.
References
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Journal ArticleDOI
Digital image smoothing and the sigma filter
TL;DR: The characteristics of this noise smoothing algorithm are analyzed and compared with several other known filtering algorithms by their ability to retain subtle details, preserving edge shapes, sharpening ramp edges, etc, and indicates that the sigma filter is the most computationally efficient filter among those evaluated.
Journal ArticleDOI
Projection-based spatially adaptive reconstruction of block-transform compressed images
TL;DR: A spatially adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets that captures both the local statistical properties of the image and the human perceptual characteristics.
Journal ArticleDOI
Nonlinear space-variant postprocessing of block coded images
B. Ramamurthi,Allen Gersho +1 more
TL;DR: A new nonlinear, space-variant filtering algorithm is proposed which smooths jagged edges without blurring them, and smooths out abrupt intensity changes in monotone areas.
Proceedings ArticleDOI
Reduction of blocking effect in image coding
TL;DR: Two methods are developed to reduce the blocking effect when the image is reconstructed at the decoder, which can develop due to discontinuities between the subimages.
Journal ArticleDOI
Blocking effect reduction of JPEG images by signal adaptive filtering
TL;DR: A postprocessing algorithm is proposed to reduce the blocking artifacts of Joint Photographic Experts Group (JPEG) decompressed images by consists of three stages, which reduces these blocking artifacts efficiently.
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