On the application of structured sparse model selection to JPEG compressed images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6626 LNCS, Issue , 2011, Pages 137-151

  Farinella, Giovanni Maria ^a   Battiato, Sebastiano ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Compression; Denoising; Image Enhancement; Image Restoration; Inverse Problems; Sparse Coding

Indexed keywords

COMPRESSION; COMPRESSION ARTIFACTS; DE-NOISING; DEBLOCKING; DEBLURRING; IMAGE RESTORATION; IMAGING TASK; INPAINTING; JPEG COMPRESSED IMAGES; JPEG COMPRESSION; LINEAR COMBINATIONS; MODEL SELECTION; NOISY IMAGE; QUALITY MEASURES; REPRESENTATION MODEL; SINGLE SENSOR; SPARSE CODING; SPECIFIC TASKS; STATE-OF-THE-ART ALGORITHMS; LEARNED DICTIONARIES;

DIFFERENTIAL EQUATIONS; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; INVERSE PROBLEMS; NOISE POLLUTION CONTROL; RESTORATION; SENSORS; CODES (SYMBOLS); COMPACTION; IMAGE CODING;

IMAGE CODING; IMAGE COMPRESSION;

EID: 79953874923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20404-3_11     Document Type: Conference Paper

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