Compressive sensing (CS) is an innovative approach for the acquisition of signals having a sparse or compressible presentation in some basis. In this paper, we extend and
modify the previous compression work that uses the degradation algorithm of CS for JPEG with 2-D DCT to the H.264/AVC with the integer 2-D DCT. Through simulation results we show that the complexity with the new proposed scheme can be dramatically reduced, and simultaneously to achieve better PSNR performance compared with the conventional CS approach using the 2-D DCT transform.
Relation:
Proceeding of 2013 International Symposium on
Intelligent Signal Processing and Communication Systems (ISPACS 2013), pp.42-46
