Adapted Total Variation for Artifact Free Decompression of JPEG Images
Journal of Mathematical Imaging and Vision
Fields of Experts: A Framework for Learning Image Priors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Reduction of blocking artifacts in JPEG compressed images
Digital Signal Processing
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
IEEE Transactions on Image Processing
Image super-resolution via sparse representation
IEEE Transactions on Image Processing
On the application of structured sparse model selection to JPEG compressed images
CCIW'11 Proceedings of the Third international conference on Computational color imaging
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
Fast POCS based post-processing technique for HDTV
IEEE Transactions on Consumer Electronics
Theory of projection onto the narrow quantization constraint set and its application
IEEE Transactions on Image Processing
Removing the blocking artifacts of block-based DCT compressed images
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing
Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
IEEE Transactions on Image Processing
Postprocessing of Low Bit-Rate Block DCT Coded Images Based on a Fields of Experts Prior
IEEE Transactions on Image Processing
Quality Assessment of Deblocked Images
IEEE Transactions on Image Processing
A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifacts reduction in image compression with block boundary discontinuity criterion
IEEE Transactions on Circuits and Systems for Video Technology
Reduction of blocking artifacts in image and video coding
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation
IEEE Transactions on Circuits and Systems for Video Technology
Block artifact reduction using a transform-domain Markov random field model
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Image Deblocking Based on Postfiltering in Shifted Windows
IEEE Transactions on Circuits and Systems for Video Technology
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Image compression based on block-based Discrete Cosine Transform (BDCT) inevitably produces annoying blocking artifacts because each block is transformed and quantized independently. This paper proposes a new deblocking method for BDCT compressed images based on sparse representation. To remove blocking artifacts, we obtain a general dictionary from a set of training images using the K-singular value decomposition (K-SVD) algorithm, which can effectively describe the content of an image. Then, an error threshold for orthogonal matching pursuit (OMP) is automatically estimated to use the dictionary for image deblocking by the compression factor of compressed image. Consequently, blocking artifacts are significantly reduced by the obtained dictionary and the estimated error threshold. Experimental results indicate that the proposed method is very effective in dealing with the image deblocking problem from compressed images.