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This paper investigates the normalised information distance (NID) proposed by Bennet et al as an approach to measure the visual similarity (or dissimilarity) of images. Earlier studies (e.g.) suggest that compression-based approximations to the NID can yield dissimilarity measures that correlate well with visual comparisons. However, results also indicate that conventional feature-based dissimilarity...
In order to improve the security by providing the stego image with imperceptible quality, three different steganographic methods for gray level images are presented in this paper. Four Neighbors, diagonal neighbors and eight neighbors methods are employed in our scheme. These methods utilize a pixel's dependency on its neighborhood and psycho visual redundancy to ascertain the smooth areas and edged...
While extracting feature vectors to represent image content remains an important issue especially those semantic features, how to measure the similarity of these feature vectors and maximize their relevance to visual content becomes an attractive research topic over the recent years. Following this trend, we proposed a new similarity measurement by introducing a correlation test into the conventional...
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