Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376602957> ?p ?o ?g. }
- W4376602957 endingPage "48547" @default.
- W4376602957 startingPage "48517" @default.
- W4376602957 abstract "In image watermarking, the locations where the watermark is embedded in the frequency domain and the embedding strength influence the overall performance of the blind watermarking procedure. The present paper aims to propose a new blind watermarking method based on the dither modulation by developing an automatic selection of the optimum embedding parameters that guarantee high-quality watermarked images and low bit error rates during the extraction process. The proposed automatic search method for the best discrete moments subsets is based on an evolutionary algorithm and adopts a specific coding strategy with a group of genes representing the embedding positions. The second part of the chromosome is reserved for the embedding strength coding, followed by the application of different evolutionary operators on the evolution pool. Our study explores the impact of maximum generation, population size, and cutting-point positions with different crossover and mutation rates. The performances under different attack conditions are evaluated, and a comparative study is established with other conventional selection methods and other discrete transforms. Results show that our proposed optimization algorithm baptized EWIMps achieves the best trade-off between robustness and imperceptibility with a peak signal-to-noise ratio varying from 28.33 dB to 59.87 dB and a normalized cross-correlation value from 0.707 to 1." @default.
- W4376602957 created "2023-05-17" @default.
- W4376602957 creator A5027122123 @default.
- W4376602957 creator A5035453194 @default.
- W4376602957 creator A5052467570 @default.
- W4376602957 creator A5072452494 @default.
- W4376602957 creator A5091547773 @default.
- W4376602957 creator A5091945999 @default.
- W4376602957 date "2023-01-01" @default.
- W4376602957 modified "2023-09-25" @default.
- W4376602957 title "New Blind Image Moments Watermarking Method Based on Evolutionary Optimization of Embedding Parameters" @default.
- W4376602957 cites W1259347921 @default.
- W4376602957 cites W1969532007 @default.
- W4376602957 cites W1973165700 @default.
- W4376602957 cites W1977019329 @default.
- W4376602957 cites W2006015144 @default.
- W4376602957 cites W2008042090 @default.
- W4376602957 cites W2009124490 @default.
- W4376602957 cites W2014068846 @default.
- W4376602957 cites W2024219931 @default.
- W4376602957 cites W2026255638 @default.
- W4376602957 cites W2059176986 @default.
- W4376602957 cites W2059342141 @default.
- W4376602957 cites W2060043351 @default.
- W4376602957 cites W2066694128 @default.
- W4376602957 cites W2069096281 @default.
- W4376602957 cites W2069201750 @default.
- W4376602957 cites W2072142347 @default.
- W4376602957 cites W2072459484 @default.
- W4376602957 cites W2076811052 @default.
- W4376602957 cites W2102238397 @default.
- W4376602957 cites W2116467012 @default.
- W4376602957 cites W2122975611 @default.
- W4376602957 cites W2124041826 @default.
- W4376602957 cites W2126191547 @default.
- W4376602957 cites W2134415040 @default.
- W4376602957 cites W2135331233 @default.
- W4376602957 cites W2137511130 @default.
- W4376602957 cites W2138342365 @default.
- W4376602957 cites W2157001182 @default.
- W4376602957 cites W2159269332 @default.
- W4376602957 cites W2168553826 @default.
- W4376602957 cites W2344601545 @default.
- W4376602957 cites W2518341443 @default.
- W4376602957 cites W2560798303 @default.
- W4376602957 cites W2576609974 @default.
- W4376602957 cites W2594225734 @default.
- W4376602957 cites W2792229966 @default.
- W4376602957 cites W2792836087 @default.
- W4376602957 cites W2794168714 @default.
- W4376602957 cites W2797301041 @default.
- W4376602957 cites W2885531592 @default.
- W4376602957 cites W2901096848 @default.
- W4376602957 cites W2916009590 @default.
- W4376602957 cites W2950262130 @default.
- W4376602957 cites W2951380443 @default.
- W4376602957 cites W2961395268 @default.
- W4376602957 cites W2963054281 @default.
- W4376602957 cites W2969191421 @default.
- W4376602957 cites W2980397088 @default.
- W4376602957 cites W2993471286 @default.
- W4376602957 cites W2996878224 @default.
- W4376602957 cites W2996964871 @default.
- W4376602957 cites W3002837248 @default.
- W4376602957 cites W3006939537 @default.
- W4376602957 cites W3008852227 @default.
- W4376602957 cites W3021402214 @default.
- W4376602957 cites W3092600322 @default.
- W4376602957 cites W3097223837 @default.
- W4376602957 cites W3113024503 @default.
- W4376602957 cites W3118949594 @default.
- W4376602957 cites W3136074963 @default.
- W4376602957 cites W3136202465 @default.
- W4376602957 cites W3157094012 @default.
- W4376602957 cites W3165856810 @default.
- W4376602957 cites W3168420135 @default.
- W4376602957 cites W3172255276 @default.
- W4376602957 cites W3183553846 @default.
- W4376602957 cites W3190304555 @default.
- W4376602957 cites W3199473444 @default.
- W4376602957 cites W4220664961 @default.
- W4376602957 cites W4221028655 @default.
- W4376602957 cites W4281744338 @default.
- W4376602957 cites W4293213391 @default.
- W4376602957 doi "https://doi.org/10.1109/access.2023.3276576" @default.
- W4376602957 hasPublicationYear "2023" @default.
- W4376602957 type Work @default.
- W4376602957 citedByCount "1" @default.
- W4376602957 countsByYear W43766029572023 @default.
- W4376602957 crossrefType "journal-article" @default.
- W4376602957 hasAuthorship W4376602957A5027122123 @default.
- W4376602957 hasAuthorship W4376602957A5035453194 @default.
- W4376602957 hasAuthorship W4376602957A5052467570 @default.
- W4376602957 hasAuthorship W4376602957A5072452494 @default.
- W4376602957 hasAuthorship W4376602957A5091547773 @default.
- W4376602957 hasAuthorship W4376602957A5091945999 @default.
- W4376602957 hasBestOaLocation W43766029571 @default.
- W4376602957 hasConcept C104317684 @default.