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Parameter Estimation for Coefficient Thresholding in Block-based Compressive Video Coding

I. Wahidah, Hendrawan, T. L. R. Mengko, A.B. Suksmono

Abstract


To simplify the encoding process, we propose the compressive sampling (CS) with coefficient thresholding in a video coding system. By applying a sparsifying transform, we acquire a sparser signal in DCT basis. A couple of tests are conducted. The first one is to decide the threshold value between significant and non-significant coefficient. The second test is to decide whether a particular block is suitable for compressive or conventional sampling. We derive those threshold values analytically and verify them by simulation. Then, a random Gaussian measurement matrix performs projection on the sample vector to yield a smaller vector. Simulation results show that the required compressive sampling threshold depends on the specified measurement rate. This is in agreement with the theoretical analysis.

Keywords


Compressive sampling, video coding, coefficient thresholding, sparse representations.

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