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_a10.1007/978-981-13-8289-5 _2doi |
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_a621.382 _223 |
100 | 1 |
_aYan, Bin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942007 |
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245 | 1 | 0 |
_aImproving Image Quality in Visual Cryptography _h[electronic resource] / _cby Bin Yan, Yong Xiang, Guang Hua. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020. |
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300 |
_aXVIII, 120 p. 74 illus., 13 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSignals and Communication Technology, _x1860-4870 |
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505 | 0 | _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. | |
520 | _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. | ||
650 | 0 |
_aSignal processing. _94052 |
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650 | 0 |
_aCryptography. _91973 |
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650 | 0 |
_aData encryption (Computer science). _99168 |
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650 | 0 |
_aInformation visualization. _914255 |
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650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
650 | 2 | 4 |
_aCryptology. _931769 |
650 | 2 | 4 |
_aData and Information Visualization. _933848 |
700 | 1 |
_aXiang, Yong. _eauthor. _0(orcid)0000-0001-5252-0831 _1https://orcid.org/0000-0001-5252-0831 _4aut _4http://id.loc.gov/vocabulary/relators/aut _942008 |
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700 | 1 |
_aHua, Guang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _942009 |
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710 | 2 |
_aSpringerLink (Online service) _942010 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811382888 |
776 | 0 | 8 |
_iPrinted edition: _z9789811382901 |
776 | 0 | 8 |
_iPrinted edition: _z9789811382918 |
830 | 0 |
_aSignals and Communication Technology, _x1860-4870 _942011 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-8289-5 |
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