31-12-2014, 10:34 PM
Can you please provide me the matlab code for color extended visual cryptography using error diffusion for my academic project
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color extended visual cryptography matlab code
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Can you please provide me the matlab code for color extended visual cryptography using error diffusion for my academic project
31-03-2017, 12:43 PM
Conventional systems for the exchange of visual secrets suffer from a management problem, so dealers can not identify each part visually. This problem can be addressed through the Extended Visual Cryptography (EVCS) scheme by adding a meaningful cover image to each shared resource. Previous approaches involving EVCS for GAS suffer from a pixel expansion problem and also need a sophisticated codebook design for various encryption schemes. This article proposes a general approach to solve the problems mentioned above. This approach can be used for secret color images in non-computer-aided decryption environments. VC Extended Color encrypts a secret color message or an image in halftone color parts. This article proposes a new encryption algorithm for encrypting secret color messages using the concept of Jarvis error dissemination semi-transparency using Jarvis matrix permutation and inverse halftones using neural network-based method. In the Halftone VC-based visual secrets exchange, the continuous semitone image is first transformed into a semitone image and then encrypted using extended VSS.
These halftone actions are then diffuse diffused simultaneously to give visually pleasing effect. The proposed approach consists of two phases. The first phase of the algorithm based on a given access structure, constructs a set of actions without pixel expansion using the Jarvis error diffusion diffusion medium. The second phase of the algorithm adds a cover image to each shared resource directly through an embossing algorithm based on the LSB substitution, thus completely eliminating the pixel expansion. In the stamping algorithm, the secret image can be hidden in the cover image. Finally the secret image will be perfectly reconstructed by the algorithm of inverse semitones using the neural network method. The secret image can be reconstructed by stacking the qualified set. Comparisons with previous approaches show the superior performance of this recently proposed method.
These halftone actions are then diffuse diffused simultaneously to give visually pleasing effect. The proposed approach consists of two phases. The first phase of the algorithm based on a given access structure, constructs a set of actions without pixel expansion using the Jarvis error diffusion diffusion medium. The second phase of the algorithm adds a cover image to each shared resource directly through an embossing algorithm based on the LSB substitution, thus completely eliminating the pixel expansion. In the stamping algorithm, the secret image can be hidden in the cover image. Finally the secret image will be perfectly reconstructed by the algorithm of inverse semitones using the neural network method. The secret image can be reconstructed by stacking the qualified set. Comparisons with previous approaches show the superior performance of this recently proposed method.
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