Title :
Research on image processing with compressed sensing algorithm: Base on the improved layered discrete cosine transform
Author :
Baoju Zhang ; Xiaohui Yin ; Wei Wang ; Qing Lei
Author_Institution :
Dept. Coll. of Phys. & Electron. Inf., Tianjin Normal Univ., Tianjin, China
Abstract :
A compressed sensing algorithm based on improved layered discrete cosine transform (DCT) was proposed, which only measured the high-pass coefficients of the other layers but preserving the top layer coefficients. For the reconstruction, high-pass coefficients could be recovered by the measurements. Then the image could be reconstructed by the inverse DCT transform. Simulation results demonstrated that the proposed algorithm improved the quality of the recovered image significantly. For the same compression ratio, the peak signal to noise ratio of the proposed algorithm is improved about 2~4 dB.
Keywords :
compressed sensing; discrete cosine transforms; image reconstruction; inverse transforms; compressed sensing algorithm; compression ratio; high-pass coefficients; image processing; image reconstruction; improved layered discrete cosine transform; inverse DCT transform; peak signal to noise ratio; top layer coefficients; Compressed sensing; Discrete cosine transforms; Image coding; Image reconstruction; Matching pursuit algorithms; Signal processing algorithms; compressed sensing; image coding; image processing; improved layered-DCT;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364661