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Lossless compression of encrypted sources can be achieved through Slepian-Wolf coding. For encrypted real-world sources, such as images, the key to improve the compression efficiency is how the source dependency is exploited. Approaches in the literature that make use of Markov properties in the Slepian-Wolf decoder do not work well for grayscale images. In this correspondence, we propose a resolution...
Compression of encrypted data can be viewed as a special case of distributed source coding and can be achieved by applying Slepian-Wolf coding. However, how to compress the encrypted video efficiently remains a challenging problem especially for those videos with irregular high motion. This paper proposes a novel multi-resolution based approach which makes it possible not only to effectively derive...
In Wyner-Ziv video coding (WZVC), the quality of side information (SI) has a critical impact on the coding efficiency. Most existing WZVC schemes generate SI using decoder-side motion estimation (ME), where the current frame is unavailable and the ME accuracy is greatly impaired. In this paper, without introducing additional bitrate overhead, we incorporate fractional-pel motion search, reduced block...
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such as an image remains a challenging issue. Previous works incorporate 2-D Markov models in the SWC, which is not accurate enough for natural grayscale images; as a result, the compression performance is usually poor. In this...
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