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005 20201225173614.0
010   $a981-13-8289-1
024 7 $a10.1007/978-981-13-8289-5
035   $a(CKB)4100000008876887
035   $a(DE-He213)978-981-13-8289-5
035   $a(MiAaPQ)EBC5786707
035   $a(PPN)252518918
035   $a(EXLCZ)994100000008876887
100   $a20190608d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aImproving Image Quality in Visual Cryptography /$fby Bin Yan, Yong Xiang, Guang Hua
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XVIII, 120 p. 74 illus., 13 illus. in color.) 
225 1 $aSignals and Communication Technology,$x1860-4862
311   $a981-13-8288-3 
327   $aIntroduction -- Basic visual cryptography algorithms -- Improving the visual quality for binary secret images -- Digital Halftoning -- Improving visual quality for share images -- Improving visual quality for probabilistic and random grid schemes -- Improving visual quality for vector schemes -- Conclusion.
330   $aThis book comprehensively covers the important efforts in improving the quality of images in visual cryptography (VC), with a focus on cases with gray scale images. It not only covers schemes in traditional VC and extended VC for binary secret images, but also the latest development in the analysis-by-synthesis approach. This book distinguishes itself from the existing literature in three ways. First, it not only reviews traditional VC for binary secret images, but also covers recent efforts in improving visual quality for gray scale secret images. Second, not only traditional quality measures are reviewed, but also measures that were not used for measuring perceptual quality of decrypted secret images, such as Radially Averaged Power Spectrum Density (RAPSD) and residual variance, are employed for evaluating and guiding the design of VC algorithms. Third, unlike most VC books following a mathematical formal style, this book tries to make a balance between engineering intuition and mathematical reasoning. All the targeted problems and corresponding solutions are fully motivated by practical applications and evaluated by experimental tests, while important security issues are presented as mathematical proof. Furthermore, important algorithms are summarized as pseudocodes, thus enabling the readers to reproduce the results in the book. Therefore, this book serves as a tutorial for readers with an engineering background as well as for experts in related areas to understand the basics and research frontiers in visual cryptography.
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aData encryption (Computer science)
606   $aMathematics
606   $aVisualization
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020
606   $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aData encryption (Computer science)
615  0$aMathematics.
615  0$aVisualization.
615 14$aSignal, Image and Speech Processing.
615 24$aCryptology.
615 24$aVisualization.
676   $a621.382
700   $aYan$b Bin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059692
702   $aXiang$b Yong$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHua$b Guang$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910366598403321
996   $aImproving Image Quality in Visual Cryptography$92507684
997   $aUNINA