Abstract
In this paper, we propose an efficient lossy compression method for the compressive sensing video that utilizes Gaussian mixture models (GMM). The GMM is used to model the compressive sensing video (CSV) frames. Then we design an efficient lossy compression method based on the GMM. Each CSV frame can be efficiently compressed by the proposed method. The proposed method is for better compromise of compression efficiency and computational complexity. And it achieves a significant Bjontegaard-Delta (BD)-PSNR improvement about 8.84∼11.81dB in average compared with existing low complexity compression solutions for compressing the CSV sequence.
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