A compressive sensing image compression algorithm using quantized DCT and noiselet information

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).

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. Villasenor, Shiqiang Yang
• Keywords: Global Noiselet Measure, ICASSP 2010, Local Discrete Cosine, Order Cone Programming, Signal Processing