Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896941781> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2896941781 abstract "Image smoothing, which aims to remove unwanted textures and preserve desired structures, plays an important role in many multimedia and computer vision tasks. The key to image smoothing, despite different applications, is to distinguish the structures from the textures. This paper presents a novel image smoothing method, following the principle that, for a certain pixel, its neighbors in both space and intensity should contribute more on smoothing, while the distant ones be insulated for avoiding over-smoothing. Intuitively, clustering is a good candidate to achieve the goal. However, due to rich textures and clutters within images, simply performing the clustering on the input likely obtains inaccurate results, and thus leads to unsatisfied smoothing results. In addition, for our task, using traditional hard clustering techniques is at high risk of generating staircase artifacts. For addressing these issues, an algorithm is customized, which on the one hand adopts the soft clustering to more faithfully assign pixels, on the other hand iterates the soft clustering and smoothing, expecting to improve each other. Experiments on several challenging images are provided to show the efficacy of our method, and its superiority over other prevailing approaches." @default.
- W2896941781 created "2018-10-26" @default.
- W2896941781 creator A5059978731 @default.
- W2896941781 creator A5064564309 @default.
- W2896941781 creator A5086311840 @default.
- W2896941781 creator A5090356888 @default.
- W2896941781 date "2018-07-01" @default.
- W2896941781 modified "2023-10-01" @default.
- W2896941781 title "Soft Clustering Guided Image Smoothing" @default.
- W2896941781 cites W1964772475 @default.
- W2896941781 cites W1990592195 @default.
- W2896941781 cites W2047895082 @default.
- W2896941781 cites W2078718577 @default.
- W2896941781 cites W2103559027 @default.
- W2896941781 cites W2104600947 @default.
- W2896941781 cites W2121141217 @default.
- W2896941781 cites W2125188192 @default.
- W2896941781 cites W2126043703 @default.
- W2896941781 cites W2126526065 @default.
- W2896941781 cites W2136154655 @default.
- W2896941781 cites W2141957843 @default.
- W2896941781 cites W2160451035 @default.
- W2896941781 cites W2231495490 @default.
- W2896941781 cites W2254462240 @default.
- W2896941781 cites W2291143146 @default.
- W2896941781 cites W2551717155 @default.
- W2896941781 cites W2566376500 @default.
- W2896941781 cites W2597206831 @default.
- W2896941781 cites W2766752234 @default.
- W2896941781 doi "https://doi.org/10.1109/icme.2018.8486448" @default.
- W2896941781 hasPublicationYear "2018" @default.
- W2896941781 type Work @default.
- W2896941781 sameAs 2896941781 @default.
- W2896941781 citedByCount "6" @default.
- W2896941781 countsByYear W28969417812018 @default.
- W2896941781 countsByYear W28969417812020 @default.
- W2896941781 countsByYear W28969417812021 @default.
- W2896941781 countsByYear W28969417812023 @default.
- W2896941781 crossrefType "proceedings-article" @default.
- W2896941781 hasAuthorship W2896941781A5059978731 @default.
- W2896941781 hasAuthorship W2896941781A5064564309 @default.
- W2896941781 hasAuthorship W2896941781A5086311840 @default.
- W2896941781 hasAuthorship W2896941781A5090356888 @default.
- W2896941781 hasConcept C115961682 @default.
- W2896941781 hasConcept C153180895 @default.
- W2896941781 hasConcept C154945302 @default.
- W2896941781 hasConcept C160633673 @default.
- W2896941781 hasConcept C31972630 @default.
- W2896941781 hasConcept C3770464 @default.
- W2896941781 hasConcept C41008148 @default.
- W2896941781 hasConcept C73555534 @default.
- W2896941781 hasConceptScore W2896941781C115961682 @default.
- W2896941781 hasConceptScore W2896941781C153180895 @default.
- W2896941781 hasConceptScore W2896941781C154945302 @default.
- W2896941781 hasConceptScore W2896941781C160633673 @default.
- W2896941781 hasConceptScore W2896941781C31972630 @default.
- W2896941781 hasConceptScore W2896941781C3770464 @default.
- W2896941781 hasConceptScore W2896941781C41008148 @default.
- W2896941781 hasConceptScore W2896941781C73555534 @default.
- W2896941781 hasLocation W28969417811 @default.
- W2896941781 hasOpenAccess W2896941781 @default.
- W2896941781 hasPrimaryLocation W28969417811 @default.
- W2896941781 hasRelatedWork W1974878844 @default.
- W2896941781 hasRelatedWork W1980382026 @default.
- W2896941781 hasRelatedWork W1981023434 @default.
- W2896941781 hasRelatedWork W2010206614 @default.
- W2896941781 hasRelatedWork W2055234710 @default.
- W2896941781 hasRelatedWork W2289604367 @default.
- W2896941781 hasRelatedWork W2767972054 @default.
- W2896941781 hasRelatedWork W2964148878 @default.
- W2896941781 hasRelatedWork W2497752714 @default.
- W2896941781 hasRelatedWork W2551465695 @default.
- W2896941781 isParatext "false" @default.
- W2896941781 isRetracted "false" @default.
- W2896941781 magId "2896941781" @default.
- W2896941781 workType "article" @default.