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This paper proposes two new intra prediction methods for color image compression, which exploit the correlation between the base and non-base colors. The first method predicts a pixel in non-base color as a weighted sum of neighboring pixels, where the weights are determined as a function of photometric distances from the pixel to the neighboring ones in the base color. The second exploits the linear...
In the case of images captured by color filter array (CFA), the compression-first approach (compression of CFA) is shown to be better than the demosaick-first approach (general image compression). In this paper, we propose a new H.264/AVC based compression-first approach that exploits the correlation between the color channels. For this, we propose an inter-channel prediction model described by a...
Random Search is one of the most well-known model for area search. However, because of its simplicity, it has inherent limitations. For example, it assumes that the searcher and target search areas are identical and that the searcher uses a perfect cookie-cutter sensor. In this study, we develop a MATLAB simulation of area search with acoustic sensors modeled by the Poisson Scan model and the Lambda-Sigma...
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