Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310972370> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4310972370 abstract "Internet of Things (IoT) consists of devices that generate, process, and exchange vast amounts of images. Unfortunately, these images always contain some kinds of noise, which significantly degrades data utility after the processing center receives the images. Image denoising plays a crucial role to recover the original image approximately from its noisy image according to the features of noise distribution and the structure information of the original image. However, the existing denoising algorithms are invalid when the original images are highly corrupted due to the high computational complexity. Therefore, this paper proposes a novel denoising algorithm based on the multi-low-rank model (MLR), which successively enforces similar blocks, dictionaries, and coefficient matrices approximating to low rank, thereby gradually removing noise. Extensive experimental simulations demonstrate that the MLR algorithm has the optimal denoising performance in terms of denoising quality and efficiency, especially in the case of strong salt noise." @default.
- W4310972370 created "2022-12-21" @default.
- W4310972370 creator A5051044069 @default.
- W4310972370 creator A5062370797 @default.
- W4310972370 creator A5075133693 @default.
- W4310972370 creator A5082456400 @default.
- W4310972370 creator A5089623949 @default.
- W4310972370 date "2022-10-17" @default.
- W4310972370 modified "2023-10-06" @default.
- W4310972370 title "MLR: An Efficient Denoising Model for Highly Corrupted Images" @default.
- W4310972370 cites W1971823080 @default.
- W4310972370 cites W1997201895 @default.
- W4310972370 cites W2020547911 @default.
- W4310972370 cites W2053514113 @default.
- W4310972370 cites W2097073572 @default.
- W4310972370 cites W2101117369 @default.
- W4310972370 cites W2159715740 @default.
- W4310972370 cites W2303740950 @default.
- W4310972370 cites W2594294444 @default.
- W4310972370 cites W2614611154 @default.
- W4310972370 cites W2767511704 @default.
- W4310972370 cites W2806994641 @default.
- W4310972370 cites W2963406528 @default.
- W4310972370 cites W3104501706 @default.
- W4310972370 doi "https://doi.org/10.1109/iecon49645.2022.9968413" @default.
- W4310972370 hasPublicationYear "2022" @default.
- W4310972370 type Work @default.
- W4310972370 citedByCount "0" @default.
- W4310972370 crossrefType "proceedings-article" @default.
- W4310972370 hasAuthorship W4310972370A5051044069 @default.
- W4310972370 hasAuthorship W4310972370A5062370797 @default.
- W4310972370 hasAuthorship W4310972370A5075133693 @default.
- W4310972370 hasAuthorship W4310972370A5082456400 @default.
- W4310972370 hasAuthorship W4310972370A5089623949 @default.
- W4310972370 hasConcept C11413529 @default.
- W4310972370 hasConcept C153180895 @default.
- W4310972370 hasConcept C154945302 @default.
- W4310972370 hasConcept C163294075 @default.
- W4310972370 hasConcept C2983327147 @default.
- W4310972370 hasConcept C31972630 @default.
- W4310972370 hasConcept C41008148 @default.
- W4310972370 hasConceptScore W4310972370C11413529 @default.
- W4310972370 hasConceptScore W4310972370C153180895 @default.
- W4310972370 hasConceptScore W4310972370C154945302 @default.
- W4310972370 hasConceptScore W4310972370C163294075 @default.
- W4310972370 hasConceptScore W4310972370C2983327147 @default.
- W4310972370 hasConceptScore W4310972370C31972630 @default.
- W4310972370 hasConceptScore W4310972370C41008148 @default.
- W4310972370 hasFunder F4320321001 @default.
- W4310972370 hasFunder F4320328899 @default.
- W4310972370 hasFunder F4320335787 @default.
- W4310972370 hasLocation W43109723701 @default.
- W4310972370 hasOpenAccess W4310972370 @default.
- W4310972370 hasPrimaryLocation W43109723701 @default.
- W4310972370 hasRelatedWork W2081458845 @default.
- W4310972370 hasRelatedWork W2139122292 @default.
- W4310972370 hasRelatedWork W2143438001 @default.
- W4310972370 hasRelatedWork W2371460091 @default.
- W4310972370 hasRelatedWork W2483420468 @default.
- W4310972370 hasRelatedWork W2594268324 @default.
- W4310972370 hasRelatedWork W3049560604 @default.
- W4310972370 hasRelatedWork W3113618412 @default.
- W4310972370 hasRelatedWork W2023827590 @default.
- W4310972370 hasRelatedWork W2092619848 @default.
- W4310972370 isParatext "false" @default.
- W4310972370 isRetracted "false" @default.
- W4310972370 workType "article" @default.