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The JPEG still picture compression standard
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MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Vector quantization and signal compression
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Markov random field modeling in computer vision
Markov random field modeling in computer vision
An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
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Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Multidimensional binary search trees used for associative searching
Communications of the ACM
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
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Texture Mixing and Texture Movie Synthesis Using Statistical Learning
IEEE Transactions on Visualization and Computer Graphics
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
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ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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IEEE Transactions on Visualization and Computer Graphics
A new postprocessing method for the block-based DCT coding based on the convex-projection theory
IEEE Transactions on Consumer Electronics
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
Removal of compression artifacts using projections onto convex sets and line process modeling
IEEE Transactions on Image Processing
Blocking effect reduction of JPEG images by signal adaptive filtering
IEEE Transactions on Image Processing
Look-up table (LUT) method for inverse halftoning
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Projection-based spatially adaptive reconstruction of block-transform compressed images
IEEE Transactions on Image Processing
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IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A practical projection-based postprocessing of block-coded images with fast convergence rate
IEEE Transactions on Circuits and Systems for Video Technology
MLP for adaptive postprocessing block-coded images
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Maximum-likelihood parameter estimation for image ringing-artifact removal
IEEE Transactions on Circuits and Systems for Video Technology
Multiframe blocking-artifact reduction for transform-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifact detection and reduction in compressed data
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Circuits and Systems for Video Technology
Adaptive postprocessor for block encoded images
IEEE Transactions on Circuits and Systems for Video Technology
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
Postprocessing MPEG based on estimated quantization parameters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
No-reference analysis of decoded MPEG images for PSNR estimation and post-processing
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Image smoothing via L0 gradient minimization
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MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
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Computers and Graphics
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In this article, we propose a novel method to reduce ringing artifacts in BDCT-encoded cartoon images using image analogies. The quantization procedure of BDCT compression (such as JPEG and MPEG) introduces annoying visual artifacts. Our main focus is on the removal of ringing artifacts that is seldom addressed by existing methods. In the proposed method, the contaminated image is modeled as a Markov random field (MRF). We “learn” the behavior of contamination by extracting massive numbers of artifact patterns from a training set, and organizing them using tree-structured vector quantization (TSVQ). Instead of postfiltering the input contaminated image, we synthesize an artifact-reduced image. Our method is noniterative and hence, can remove artifacts within a very short period of time. We show that substantial improvement is achieved using the proposed method in terms of visual quality and statistics.