Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022073268> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2022073268 abstract "In this paper, it is presented that a new color image watermarking algorithm based on compressed sensing theory and chaos theory in discrete cosine transform (DCT) and singular value decomposition (SVD) domain. Initially, a color watermarking image is preprocessed by four steps i.e. Being divided into red, green and blue channels, being sparse by wavelet transform, scrambling by 1-D chaos sequence and measurement through Gaussian random matrix. Here, the chaos sequence is produced by 1-D Logistic mapping. Then the red, green and blue channel images of a color host image are divided into 8×8 blocks and then transformed by DCT. Next the first DCT coefficient of each block is selected to compose a new matrix, and the new matrix is decomposed by SVD. The singular values are the regions of watermarking embedment. Thirdly, three sets of measured coefficients as new watermarking are embedded into the corresponding singular values. Finally, the Iterative Hard Threshold (IHT) algorithm is used to reconstruct the watermarking image. The method proposed can not only enlarge the information capacity of watermarking embedment but also strengthen the security of watermarking in the condition of the good imperceptibility. The experiments show that the scheme is feasible and has good anti-attack ability for JPEG compression, Gaussian white noise, rotating and median filtering." @default.
- W2022073268 created "2016-06-24" @default.
- W2022073268 creator A5007269591 @default.
- W2022073268 creator A5016606810 @default.
- W2022073268 date "2014-12-01" @default.
- W2022073268 modified "2023-09-24" @default.
- W2022073268 title "A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory" @default.
- W2022073268 cites W1980454827 @default.
- W2022073268 cites W1980697662 @default.
- W2022073268 cites W2050455378 @default.
- W2022073268 cites W2097476744 @default.
- W2022073268 cites W2104266187 @default.
- W2022073268 cites W2158518777 @default.
- W2022073268 cites W2187007968 @default.
- W2022073268 cites W2365032430 @default.
- W2022073268 cites W2377167489 @default.
- W2022073268 cites W2379680356 @default.
- W2022073268 cites W2382942562 @default.
- W2022073268 cites W2388747889 @default.
- W2022073268 cites W2963322354 @default.
- W2022073268 doi "https://doi.org/10.1109/iscid.2014.280" @default.
- W2022073268 hasPublicationYear "2014" @default.
- W2022073268 type Work @default.
- W2022073268 sameAs 2022073268 @default.
- W2022073268 citedByCount "3" @default.
- W2022073268 countsByYear W20220732682016 @default.
- W2022073268 countsByYear W20220732682018 @default.
- W2022073268 countsByYear W20220732682019 @default.
- W2022073268 crossrefType "proceedings-article" @default.
- W2022073268 hasAuthorship W2022073268A5007269591 @default.
- W2022073268 hasAuthorship W2022073268A5016606810 @default.
- W2022073268 hasConcept C109282560 @default.
- W2022073268 hasConcept C11413529 @default.
- W2022073268 hasConcept C115961682 @default.
- W2022073268 hasConcept C121332964 @default.
- W2022073268 hasConcept C142616399 @default.
- W2022073268 hasConcept C150817343 @default.
- W2022073268 hasConcept C154945302 @default.
- W2022073268 hasConcept C158693339 @default.
- W2022073268 hasConcept C182548165 @default.
- W2022073268 hasConcept C198751489 @default.
- W2022073268 hasConcept C2221639 @default.
- W2022073268 hasConcept C22789450 @default.
- W2022073268 hasConcept C31972630 @default.
- W2022073268 hasConcept C33923547 @default.
- W2022073268 hasConcept C41008148 @default.
- W2022073268 hasConcept C62520636 @default.
- W2022073268 hasConcept C78548338 @default.
- W2022073268 hasConcept C9417928 @default.
- W2022073268 hasConceptScore W2022073268C109282560 @default.
- W2022073268 hasConceptScore W2022073268C11413529 @default.
- W2022073268 hasConceptScore W2022073268C115961682 @default.
- W2022073268 hasConceptScore W2022073268C121332964 @default.
- W2022073268 hasConceptScore W2022073268C142616399 @default.
- W2022073268 hasConceptScore W2022073268C150817343 @default.
- W2022073268 hasConceptScore W2022073268C154945302 @default.
- W2022073268 hasConceptScore W2022073268C158693339 @default.
- W2022073268 hasConceptScore W2022073268C182548165 @default.
- W2022073268 hasConceptScore W2022073268C198751489 @default.
- W2022073268 hasConceptScore W2022073268C2221639 @default.
- W2022073268 hasConceptScore W2022073268C22789450 @default.
- W2022073268 hasConceptScore W2022073268C31972630 @default.
- W2022073268 hasConceptScore W2022073268C33923547 @default.
- W2022073268 hasConceptScore W2022073268C41008148 @default.
- W2022073268 hasConceptScore W2022073268C62520636 @default.
- W2022073268 hasConceptScore W2022073268C78548338 @default.
- W2022073268 hasConceptScore W2022073268C9417928 @default.
- W2022073268 hasLocation W20220732681 @default.
- W2022073268 hasOpenAccess W2022073268 @default.
- W2022073268 hasPrimaryLocation W20220732681 @default.
- W2022073268 hasRelatedWork W1589680328 @default.
- W2022073268 hasRelatedWork W1980697662 @default.
- W2022073268 hasRelatedWork W2022073268 @default.
- W2022073268 hasRelatedWork W2024764744 @default.
- W2022073268 hasRelatedWork W2353563175 @default.
- W2022073268 hasRelatedWork W2359197557 @default.
- W2022073268 hasRelatedWork W2368332624 @default.
- W2022073268 hasRelatedWork W2375082704 @default.
- W2022073268 hasRelatedWork W2388490934 @default.
- W2022073268 hasRelatedWork W2394159890 @default.
- W2022073268 isParatext "false" @default.
- W2022073268 isRetracted "false" @default.
- W2022073268 magId "2022073268" @default.
- W2022073268 workType "article" @default.