DocumentCode
2796790
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
fYear
2010
fDate
14-19 March 2010
Firstpage
1294
Lastpage
1297
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495423
Filename
5495423
Link To Document