Title :
A compressive sensing image compression algorithm using quantized DCT and noiselet information
Author :
Wen, Jiangtao ; Chen, Zhuoyuan ; Han, Yuxing ; Villasenor, John D. ; Yang, Shiqiang
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compression algorithms such as JPEG with a global noiselet measure which is solved using second order cone programming (SOCP).
Keywords :
discrete cosine transforms; image coding; image reconstruction; compressive sensing image compression algorithm; discrete cosine transform; noiselet information; quantized DCT; second order cone programming; Bit rate; Communication standards; Communication systems; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; Noise measurement; Quantization; Transform coding; SOCP; compressive sensing; exp-Golomb coding; image compression; noiselet; quantization;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495423
