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Distortion-free data embedding enables a cover image to be recovered from its stego-image without any distortion after the secret data have been extracted. This distortion-free property allows the appropriate recovery of highly sensitive images for which even the smallest modification of the cover images cannot be allowed. In this paper, a new distortion-free data embedding scheme is proposed for...
This paper presents a novel approach for retrieving images from databases using eigen color and the concept of multiple instance learning. Usually, vehicles have various colors and shapes under different viewpoints, weathers, and lighting conditions. All the variations will increase many difficulties and challenges in selecting a general feature to describe vehicles. Thus, traditional methods to retrieve...
Recently, embedding a large amount of secret data into gray-level and color images with low distortion has become an important research issue in steganography. In this paper, we propose a data embedding scheme by using a well-known genetic algorithm, block truncation code and modification direction techniques to embed secret data into compression codes of color images to expand the variety of cover...
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