Blocking Variable Step Size Forward-Backward Pursuit Algorithm for Image Reconstruction

• DOI: 10.14257/ijmue.2016.11.2.03
• Publication Date: 2016-03-10T01:40:04Z
• Authors: Ail Wang; Mingji Yang; Xue Gao; Yuji Iwahori
• Keywords: Blocking (statistics)

Compressed sensing is a new signal sampling theory that fully makes use of signal's sparsity or compressibility.The shows that, the acquisition small amount sparse compressible value can be used for exact reconstruction.Based on study and summarization existing reconstruction algorithms, this paper proposes novel blocking variable step size forward-backward pursuit (BVSSFBP).This proposed algorithm by introducing concept phase to deal with different situations.The also divides two-dimensional image into blocks, in order reduce scale observation matrix during single processing, processing speed overall running time.Experimental results show BVSSFBP obtain better reconstructed quality.