Title :
Degradation algorithm of compressive sensing for integer DCT with application to H. 264/AVC
Author :
Shiunn-Jang Chern ; Che-Wei Wu ; Ching-Tang Hsieh
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
Abstract :
Compressive sensing (CS) is an innovative approach for the acquisition of signals having a sparse or compressible representation 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.
Keywords :
compressed sensing; data compression; discrete cosine transforms; video codecs; video coding; CS approach; H.264-AVC; JPEG; PSNR performance; compressible representation; compressive sensing; degradation algorithm; integer 2D DCT; signal acquisition; sparse representation; Compressed sensing; Degradation; Discrete cosine transforms; Quantization (signal); Sparse matrices; Video coding; PSNR; compressive sensing; degradation algorithm; dimensionality reduction; integer 2D-DCT; sparsity;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
Conference_Location :
Naha
Print_ISBN :
978-1-4673-6360-0
DOI :
10.1109/ISPACS.2013.6704519