BLOCK-BASED VARIABLE DENSITY COMPRESSED IMAGE SAMPLING Conference Paper uri icon

abstract

  • Compressed sampling (CS) is a technique that enables signal reconstruction at sub-Nyquist sampling rate. A key problem in CS is how to design the sampling scheme. In this paper, we propose a novel sampling method for compressed image sampling, which exploits a priori information and uses a block-based strategy to improve image reconstruction. Our block-based sampling scheme assigns more samples to blocks with more high-frequency contents while making sure that important coefficients of each block are sampled. Simulation results show that our proposed method outperforms existing methods on both reconstruction quality and running time. © 2012 IEEE.

author list (cited authors)

  • Qiao, W., Liu, B., Xiong, Z., Arce, G. R., Garcia-Frias, J., Zhu, W., & Yan, Z.

citation count

  • 4

complete list of authors

  • Qiao, Wei||Liu, Bin||Xiong, Zixiang||Arce, Gonzalo R||Garcia-Frias, Javier||Zhu, Wenwu||Yan, Zhisheng

publication date

  • September 2012

publisher