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This paper presents a new look at image/video compression from the compressive sensing's perspective. Quantization in video compression can be regarded as a subsampling process where the signal is mapped into predefined levels. We view the problem of signal reconstruction from its quantized signal vector as a compressive sensing recovery problem where the quantized coefficients are subsampled measurements...
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