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This paper investigates the application of lossy distributed source coding to high resolution multispectral images. The choice of distributed source coding is motivated by the need for very low encoding complexity on space and airborne platforms. The data consists of red, blue, green and infra-red channels and is compressed in an asymmetric Wyner-Ziv setting. One image channel is compressed using...
In this paper, a new block-based pixel domain distributed video coding scheme featured with variable block modes is proposed. In addition to intra mode and Wyner-Ziv mode employed in conventional block-based distributed video coding scheme, two supplementary block modes “SKIP mode” and “zero motion mode” are introduced in the proposed scheme to improve the overall coding efficiency, as well as to...
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a feature vector consisting of pseudo-random projections of the decimated image. Then, the quantized projections are encoded to form a hash, which is robustly embedded as a watermark in the image. By recovering the watermark...
In this paper, we propose a low complexity lossless compression scheme for multispectral images based on distributed coding. Data decorrelation operations are moved to decoder on the ground in order to design a lightweight yet very efficient encoder suitable for onboard applications. The decoder with abundant resources will perform spectral-spatial adaptive fuzzy prediction to generate high quality...
We present in this paper a novel distributed image coding scheme by exploiting image spatial correlation via Markov random field modeling at the decoding end. This allows us to design a simple yet efficient encoder suitable for various energy efficient imaging sensor network applications. The novelty is the integration of LDPC decoding and Markov random field modeling in order to jointly exploit both...
We present in this paper a novel distributed image coding scheme by exploiting image spatial correlation via Markov modeling at the decoding end. The exploitation of image statistics at the decoding end allows us to design a simple yet efficient encoder suitable for various energy efficient imaging sensor network applications. Existing distributed coding schemes developed for imaging sensor networks...
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