Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287926680> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4287926680 abstract "Many real-world applications in image processing and computer vision require splitting an input image into a cartoon component and a texture component. We propose a nonconvex variational image decomposition model for simultaneously recovering cartoon and texture images. To induce the sparsity of gradient norms of the cartoon image more strongly than the classical total variation regularization, we applied the nonconvex firm penalty function as a regularizer for the cartoon image. The nonconvex firm penalty regularizer function has a better ability to separate the piecewise constant component with neat edges. The G-norm was used as an oscillating prior for the texture image. Converting the proposed optimization model to a constrained problem by variable splitting, we addressed it with the alternating direction method of multipliers. Experimental results and comparisons were given to verify the superiority of existing state-of-the-art methods in terms of correlation, peak signal-to-noise ratio, structural similarity, and visual quality. Finally, we demonstrated the effectiveness of the proposed model by several applications such as image abstraction and pencil sketching, artifact removal, image denoising, image composition, and detail enhancement." @default.
- W4287926680 created "2022-07-26" @default.
- W4287926680 creator A5032705873 @default.
- W4287926680 creator A5034882110 @default.
- W4287926680 creator A5062633151 @default.
- W4287926680 creator A5088442375 @default.
- W4287926680 date "2022-07-01" @default.
- W4287926680 modified "2023-10-17" @default.
- W4287926680 title "Nonconvex variational approach for simultaneously recovering cartoon and texture images" @default.
- W4287926680 cites W1437776911 @default.
- W4287926680 cites W1488881187 @default.
- W4287926680 cites W1973376681 @default.
- W4287926680 cites W1993465480 @default.
- W4287926680 cites W2007683294 @default.
- W4287926680 cites W2024774629 @default.
- W4287926680 cites W2051734494 @default.
- W4287926680 cites W2057203222 @default.
- W4287926680 cites W2078718577 @default.
- W4287926680 cites W2092231222 @default.
- W4287926680 cites W2099244020 @default.
- W4287926680 cites W2103559027 @default.
- W4287926680 cites W2133665775 @default.
- W4287926680 cites W2141957843 @default.
- W4287926680 cites W2166493908 @default.
- W4287926680 cites W2589677903 @default.
- W4287926680 cites W2897515438 @default.
- W4287926680 cites W2970464671 @default.
- W4287926680 cites W2996868574 @default.
- W4287926680 cites W2998514558 @default.
- W4287926680 cites W3035133372 @default.
- W4287926680 cites W3042523595 @default.
- W4287926680 cites W3043678235 @default.
- W4287926680 cites W3093500585 @default.
- W4287926680 cites W3098595037 @default.
- W4287926680 cites W3103294678 @default.
- W4287926680 cites W3113304539 @default.
- W4287926680 cites W3183985701 @default.
- W4287926680 cites W4247811648 @default.
- W4287926680 cites W845735060 @default.
- W4287926680 doi "https://doi.org/10.1117/1.jei.31.4.043021" @default.
- W4287926680 hasPublicationYear "2022" @default.
- W4287926680 type Work @default.
- W4287926680 citedByCount "0" @default.
- W4287926680 crossrefType "journal-article" @default.
- W4287926680 hasAuthorship W4287926680A5032705873 @default.
- W4287926680 hasAuthorship W4287926680A5034882110 @default.
- W4287926680 hasAuthorship W4287926680A5062633151 @default.
- W4287926680 hasAuthorship W4287926680A5088442375 @default.
- W4287926680 hasConcept C106430172 @default.
- W4287926680 hasConcept C11413529 @default.
- W4287926680 hasConcept C115961682 @default.
- W4287926680 hasConcept C134306372 @default.
- W4287926680 hasConcept C153180895 @default.
- W4287926680 hasConcept C154945302 @default.
- W4287926680 hasConcept C164660894 @default.
- W4287926680 hasConcept C207282899 @default.
- W4287926680 hasConcept C2776135515 @default.
- W4287926680 hasConcept C31972630 @default.
- W4287926680 hasConcept C33923547 @default.
- W4287926680 hasConcept C41008148 @default.
- W4287926680 hasConcept C63099799 @default.
- W4287926680 hasConcept C9417928 @default.
- W4287926680 hasConceptScore W4287926680C106430172 @default.
- W4287926680 hasConceptScore W4287926680C11413529 @default.
- W4287926680 hasConceptScore W4287926680C115961682 @default.
- W4287926680 hasConceptScore W4287926680C134306372 @default.
- W4287926680 hasConceptScore W4287926680C153180895 @default.
- W4287926680 hasConceptScore W4287926680C154945302 @default.
- W4287926680 hasConceptScore W4287926680C164660894 @default.
- W4287926680 hasConceptScore W4287926680C207282899 @default.
- W4287926680 hasConceptScore W4287926680C2776135515 @default.
- W4287926680 hasConceptScore W4287926680C31972630 @default.
- W4287926680 hasConceptScore W4287926680C33923547 @default.
- W4287926680 hasConceptScore W4287926680C41008148 @default.
- W4287926680 hasConceptScore W4287926680C63099799 @default.
- W4287926680 hasConceptScore W4287926680C9417928 @default.
- W4287926680 hasIssue "04" @default.
- W4287926680 hasLocation W42879266801 @default.
- W4287926680 hasOpenAccess W4287926680 @default.
- W4287926680 hasPrimaryLocation W42879266801 @default.
- W4287926680 hasRelatedWork W1533292911 @default.
- W4287926680 hasRelatedWork W2037400630 @default.
- W4287926680 hasRelatedWork W2080322084 @default.
- W4287926680 hasRelatedWork W2130228941 @default.
- W4287926680 hasRelatedWork W2132132164 @default.
- W4287926680 hasRelatedWork W2142308565 @default.
- W4287926680 hasRelatedWork W3044651058 @default.
- W4287926680 hasRelatedWork W3152929143 @default.
- W4287926680 hasRelatedWork W3214851576 @default.
- W4287926680 hasRelatedWork W4236771684 @default.
- W4287926680 hasVolume "31" @default.
- W4287926680 isParatext "false" @default.
- W4287926680 isRetracted "false" @default.
- W4287926680 workType "article" @default.