His primary areas of study are Secret sharing, Visual cryptography, Image, Homomorphic secret sharing and Theoretical computer science. His work in Secret sharing is not limited to one particular discipline; it also encompasses Image sharing. The various areas that Ching-Nung Yang examines in his Visual cryptography study include Artificial intelligence, Computer vision, Contrast and Human visual system model.
His Image study incorporates themes from Cover, Pixel and Arithmetic. In Homomorphic secret sharing, he works on issues like Lossless compression, which are connected to Computation. Ching-Nung Yang works mostly in the field of Theoretical computer science, limiting it down to topics relating to Algorithm and, in certain cases, Rotation and Copy detection.
Ching-Nung Yang mainly focuses on Image, Algorithm, Secret sharing, Visual cryptography and Artificial intelligence. His work in the fields of Image, such as Image sharing, intersects with other areas such as Block Truncation Coding. His Algorithm research is multidisciplinary, incorporating perspectives in Information hiding, Steganography and Code.
His biological study spans a wide range of topics, including Image processing and Theoretical computer science. The concepts of his Visual cryptography study are interwoven with issues in Decoding methods, Arithmetic, Encryption and Human visual system model. His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.
His primary areas of investigation include Image, Algorithm, Artificial intelligence, Information hiding and Image sharing. His work carried out in the field of Image brings together such families of science as Cover, Visual cryptography and Shadow. To a larger extent, he studies Cryptography with the aim of understanding Visual cryptography.
His work deals with themes such as Image quality and Bitmap, which intersect with Algorithm. The study incorporates disciplines such as Real-time data, Computer vision and Pattern recognition in addition to Artificial intelligence. His research in Information hiding intersects with topics in Pixel and Hamming code.
Ching-Nung Yang mainly investigates Image, Image sharing, Algorithm, Authentication and Decoding methods. Ching-Nung Yang is doing genetic studies as part of his Computer vision and Artificial intelligence and Image sharing investigations. His research investigates the connection between Computer vision and topics such as Cover that intersect with problems in Parity bit and Steganography.
Algorithm connects with themes related to Pixel in his study. His Decoding methods study combines topics from a wide range of disciplines, such as Computer network, Encryption and Visual cryptography. His research in Visual cryptography focuses on subjects like Single image, which are connected to Cryptography.
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New visual secret sharing schemes using probabilistic method
Pattern Recognition Letters (2004)
Effective and Efficient Global Context Verification for Image Copy Detection
Zhili Zhou;Yunlong Wang;Q. M. Jonathan Wu;Ching-Nung Yang.
IEEE Transactions on Information Forensics and Security (2017)
Improvements of image sharing with steganography and authentication
Ching-Nung Yang;Tse-Shih Chen;Kun Hsuan Yu;Chung-Chun Wang.
Journal of Systems and Software (2007)
New Colored Visual Secret Sharing Schemes
Ching-Nung Yang;Chi-Sung Laih.
Designs, Codes and Cryptography (2000)
Enabling Semantic Search Based on Conceptual Graphs over Encrypted Outsourced Data
Zhangjie Fu;Fengxiao Huang;Xingming Sun;Athanasios V. Vasilakos.
IEEE Transactions on Services Computing (2019)
Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation
Zhili Zhou;Ching-Nung Yang;Beijing Chen;Xingming Sun.
IEICE Transactions on Information and Systems (2016)
Visual Cryptography and Secret Image Sharing
Stelvio Cimato;Ching-Nung Yang.
Colored visual cryptography scheme based on additive color mixing
Ching-Nung Yang;Tse-Shih Chen.
Pattern Recognition (2008)
Image secret sharing method with two-decoding-options: Lossless recovery and previewing capability
Ching-Nung Yang;Chuei-Bang Ciou.
Image and Vision Computing (2010)
Aspect ratio invariant visual secret sharing schemes with minimum pixel expansion
Ching-Nung Yang;Tse-Shih Chen.
Pattern Recognition Letters (2005)
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