Enhancement of JPEG-Compressed Images by Re-application of JPEG
Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
An Image Enhancement Technique Based on Wavelets
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Picture quality improvement in MPEG-4 video coding using simple adaptive filter
Proceedings of the 12th annual ACM international conference on Multimedia
Multispectral image data fusion using POCS and super-resolution
Computer Vision and Image Understanding
Constrained texture synthesis for image post processing
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Deringing cartoons by image analogies
ACM Transactions on Graphics (TOG)
Temporal resolution enhancement in compressed video sequences
EURASIP Journal on Applied Signal Processing
Multispectral image data fusion using POCS and super-resolution
Computer Vision and Image Understanding
Optimal spread spectrum watermark embedding via a multistep feasibility formulation
IEEE Transactions on Image Processing
A smoothness constraint set based on local statistics of BDCT coefficients for image postprocessing
Image and Vision Computing
Block effect reduction by the 1-D gray polynomial interpolation
Digital Signal Processing
Blocky noise reduction for JPEG images using total variation minimization
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Image deblocking by the dual adaptive FIR wiener filter and overcomplete representation
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Image postprocessing by Non-local Kuan's filter
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
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Local compensating filter application for quality improvement of images compressed by JPEG
Pattern Recognition and Image Analysis
Learning-based image restoration for compressed images
Image Communication
An efficient post-processing using DCT domain projections onto convex sets
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
MPEG postprocessing system using edge signal variable filter
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Video codec for classical cartoon animations with hardware accelerated playback
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Improved POCS-based deblocking technique using wavelet transform in block coded image
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Effective blocking artifact reduction using classification of block boundary area
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Application of feedforward neural network for the deblocking of low bit rate coded images
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Hybrid deblocking algorithm for block-based low bit rate coded images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
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At the present time, block-transform coding is probably the most popular approach for image compression. For this approach, the compressed images are decoded using only the transmitted transform data. We formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data but, in addition, the prior knowledge that images before compression do not display between-block discontinuities. A spatially adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Apart from the data constraint set, this algorithm uses another new constraint set that enforces between-block smoothness. The novelty of this set is that it captures both the local statistical properties of the image and the human perceptual characteristics. A simplified spatially adaptive recovery algorithm is also proposed, and the analysis of its computational complexity is presented. Numerical experiments are shown that demonstrate that the proposed algorithms work better than both the JPEG deblocking recommendation and our previous projection-based image decoding approach