Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912136323> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2912136323 abstract "Nonlocal self-similarity and group sparsity have been widely utilized in image compressive sensing (CS). However, when the sampling rate is low, the internal prior information of degraded images may be not enough for accurate restoration, resulting in loss of image edges and details. In this paper, we propose a joint group and residual sparse coding method for CS image recovery (JGRSC-CS). In the proposed JGRSC-CS, patch group is treated as the basic unit of sparse coding and two dictionaries (namely internal and external dictionaries) are applied to exploit the sparse representation of each group simultaneously. The internal self-adaptive dictionary is used to remove artifacts, and an external Gaussian Mixture Model (GMM) dictionary, learned from clean training images, is used to enhance details and texture. To make the proposed method effective and robust, the split Bregman method is adopted to reconstruct the whole image. Experimental results manifest the proposed JGRSC-CS algorithm outperforms existing state-of-the-art methods in both peak signal to noise ratio (PSNR) and visual quality." @default.
- W2912136323 created "2019-02-21" @default.
- W2912136323 creator A5010255725 @default.
- W2912136323 creator A5065371793 @default.
- W2912136323 date "2019-01-22" @default.
- W2912136323 modified "2023-09-23" @default.
- W2912136323 title "Joint group and residual sparse coding for image compressive sensing" @default.
- W2912136323 cites W1968367053 @default.
- W2912136323 cites W1978749115 @default.
- W2912136323 cites W1996856541 @default.
- W2912136323 cites W1999174140 @default.
- W2912136323 cites W2002969407 @default.
- W2912136323 cites W2028339660 @default.
- W2912136323 cites W2029816571 @default.
- W2912136323 cites W2045737896 @default.
- W2912136323 cites W2049819383 @default.
- W2912136323 cites W2056370875 @default.
- W2912136323 cites W2085899807 @default.
- W2912136323 cites W2107861471 @default.
- W2912136323 cites W2109320267 @default.
- W2912136323 cites W2128692736 @default.
- W2912136323 cites W2130120519 @default.
- W2912136323 cites W2137628444 @default.
- W2912136323 cites W2141983208 @default.
- W2912136323 cites W2142058898 @default.
- W2912136323 cites W2145096794 @default.
- W2912136323 cites W2153663612 @default.
- W2912136323 cites W2155473288 @default.
- W2912136323 cites W2159092888 @default.
- W2912136323 cites W2161080436 @default.
- W2912136323 cites W2172275395 @default.
- W2912136323 cites W2207282238 @default.
- W2912136323 cites W2296616510 @default.
- W2912136323 cites W2319939478 @default.
- W2912136323 cites W2327806695 @default.
- W2912136323 cites W2408480187 @default.
- W2912136323 cites W2536599074 @default.
- W2912136323 cites W2543013670 @default.
- W2912136323 cites W2613184245 @default.
- W2912136323 cites W2764169013 @default.
- W2912136323 cites W2962696956 @default.
- W2912136323 cites W2073437729 @default.
- W2912136323 doi "https://doi.org/10.48550/arxiv.1901.07720" @default.
- W2912136323 hasPublicationYear "2019" @default.
- W2912136323 type Work @default.
- W2912136323 sameAs 2912136323 @default.
- W2912136323 citedByCount "0" @default.
- W2912136323 crossrefType "posted-content" @default.
- W2912136323 hasAuthorship W2912136323A5010255725 @default.
- W2912136323 hasAuthorship W2912136323A5065371793 @default.
- W2912136323 hasBestOaLocation W29121363231 @default.
- W2912136323 hasConcept C11413529 @default.
- W2912136323 hasConcept C115961682 @default.
- W2912136323 hasConcept C124066611 @default.
- W2912136323 hasConcept C124851039 @default.
- W2912136323 hasConcept C127413603 @default.
- W2912136323 hasConcept C153180895 @default.
- W2912136323 hasConcept C154945302 @default.
- W2912136323 hasConcept C155512373 @default.
- W2912136323 hasConcept C170154142 @default.
- W2912136323 hasConcept C18555067 @default.
- W2912136323 hasConcept C31972630 @default.
- W2912136323 hasConcept C41008148 @default.
- W2912136323 hasConcept C77637269 @default.
- W2912136323 hasConceptScore W2912136323C11413529 @default.
- W2912136323 hasConceptScore W2912136323C115961682 @default.
- W2912136323 hasConceptScore W2912136323C124066611 @default.
- W2912136323 hasConceptScore W2912136323C124851039 @default.
- W2912136323 hasConceptScore W2912136323C127413603 @default.
- W2912136323 hasConceptScore W2912136323C153180895 @default.
- W2912136323 hasConceptScore W2912136323C154945302 @default.
- W2912136323 hasConceptScore W2912136323C155512373 @default.
- W2912136323 hasConceptScore W2912136323C170154142 @default.
- W2912136323 hasConceptScore W2912136323C18555067 @default.
- W2912136323 hasConceptScore W2912136323C31972630 @default.
- W2912136323 hasConceptScore W2912136323C41008148 @default.
- W2912136323 hasConceptScore W2912136323C77637269 @default.
- W2912136323 hasLocation W29121363231 @default.
- W2912136323 hasOpenAccess W2912136323 @default.
- W2912136323 hasPrimaryLocation W29121363231 @default.
- W2912136323 hasRelatedWork W2005185696 @default.
- W2912136323 hasRelatedWork W2009766461 @default.
- W2912136323 hasRelatedWork W2119550179 @default.
- W2912136323 hasRelatedWork W212310357 @default.
- W2912136323 hasRelatedWork W2144724818 @default.
- W2912136323 hasRelatedWork W2157785665 @default.
- W2912136323 hasRelatedWork W2161229648 @default.
- W2912136323 hasRelatedWork W2203155458 @default.
- W2912136323 hasRelatedWork W2972435282 @default.
- W2912136323 hasRelatedWork W2990531703 @default.
- W2912136323 isParatext "false" @default.
- W2912136323 isRetracted "false" @default.
- W2912136323 magId "2912136323" @default.
- W2912136323 workType "article" @default.