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The image down-conversion may be used in the block-based image compression because it can help save lots of bit-counts for each individual block. A straightforward way to implement the transform domain down-conversion is to truncate some high-frequency components to get a down-sized coefficient block. However, directly using this down-sized coefficient block to reconstruct a completed image block...
Homomorphic encryption becomes one of the key components in many emerging applications, e.g., cloud computing, to achieve privacy-preserving data processing. However, one of the major drawbacks that precludes the widespread adoption of homomorphic encryption is the huge expansion of the ciphertext. This problem becomes even more severe when multimedia data (images/videos) are handled, as these files...
In this paper, we propose a novel image interpolation algorithm via graph-based Bayesian label propagation. The basic idea is to first create a graph with known and unknown pixels as vertices and with edge weights encoding the similarity between vertices, then the problem of interpolation converts to how to effectively propagate the label information from known points to unknown ones. This process...
Digital image forensics seeks to detect statistical traces left by image acquisition or post-processing in order to establish an images source and authenticity. Digital cameras acquire an image with one sensor overlayed with a color filter array (CFA), capturing at each spatial location one sample from the three necessary color channels. The missing pixels must be interpolated in a process known as...
In this paper, a novel spatial error concealment algorithm, which adaptively switches between directional interpolation and region matching, is proposed. Different from the previous spatial error concealment methods, which just utilize smooth property, the algorithm exploits both smooth property and texture information to recover the lost blocks. Based on the DCT coefficients in the available neighboring...
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