A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images
Autor: | T. Hoang Ngan Le, Chin-Chen Chang, Hoai Bac Le, Chia-Chen Lin |
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Rok vydání: | 2011 |
Předmět: |
Discrete wavelet transform
Computational complexity theory Image quality business.industry Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization Block Truncation Coding Grayscale Secret sharing Digital image Computational Theory and Mathematics Artificial Intelligence Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Statistics Probability and Uncertainty business Mathematics |
Zdroj: | Digital Signal Processing. 21:734-745 |
ISSN: | 1051-2004 |
DOI: | 10.1016/j.dsp.2011.07.004 |
Popis: | Many secret sharing schemes for digital images have been developed in recent decades. Traditional schemes typically must deal with the problem of computational complexity, and other visual secret sharing schemes come with a higher transmission cost and storage cost; that is, each shadow size is m times as big as the original secret image. The new (2,n) secret sharing scheme for grayscale images proposed in this paper is based a combination of acceptable image quality using block truncation coding (BTC), high compression ratio discrete wavelet transform (DWT) and good subjective performance of the vector quantization (VQ) technique. Experimental results confirm that our proposed scheme not only generates a high quality reconstructed original image but also generates small, random-like grayscale shadows. |
Databáze: | OpenAIRE |
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