Multi-Scale Block Compressed Sensing Algorithm Based on Gray-Level Co-Occurrence Matrix

Jinfeng Li; Yutong Zhao; Weiran Huang; Jinnan Guo

doi:10.3788/LOP202158.0410002

[1] Jiao L C, Yang S Y, Liu F et al. Development and prospect of compressive sensing[J]. Acta Electronica Sinica, 39, 1651-1662(2011).

[2] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

[3] Wang Y Y, Ren Y C, Chen L Y et al. Terahertz wave wide-beam imaging technology based on block compressive sensing theory[J]. Acta Optica Sinica, 39, 0407001(2019).

[4] Ke J, Zhang L X, Zhou Q. Applications of compressive sensing in optical imaging[J]. Acta Optica Sinica, 40, 0111006(2020).

[5] Gan L. Block compressed sensing of natural images[C]∥2007 15th International Conference on Digital Signal Processing, July 1-4, 2007, Cardiff, UK., 403-406(2007).

[6] Wang Y, Zhou C, Xiong C Y et al. Enhanced block compressed sensing of images based on total variation using texture information[J]. Computer Science, 43, 307-310,315(2016).

[7] Du X L, Zhang W, Gu B B et al. GLCM-based adaptive block compressed sensing method for image[J]. Computer Science, 45, 277-282(2018).

[8] Cai X, Xie Z G, Huang H W et al. An adaptive reconstruction algorithm for image block compressed sensing under low sampling rate[J]. Journal of Chinese Computer Systems, 37, 612-616(2016).

[9] Cao Y Q, Bai S, Cao M W. Image compression sampling based on adaptive block compressed sensing[J]. Journal of Image and Graphics, 21, 416-424(2016).

[10] Fowler J E, Mun S, Tramel E W. Multiscale block compressed sensing with smoothed projected Landweber reconstruction[C]∥2011 19th European Signal Processing Conference, August 29 - September 2, 2011, Barcelona, Spain., 564-568(2011).

[11] Li Y, Zhao R Z, Zhang F Z et al. Adaptive multi-scale block compressed sensing algorithm based on edge and direction estimation[J]. Journal of Signal Processing, 31, 407-413(2015).

[12] Cheng D Q, Shao L R, Li Y et al. Multi-scale block adaptive sampling rate compression sensing algorithm[J]. Laser & Optoelectronics Progress, 56, 031005(2019).

[13] Li R C, Cheng Y X, Li L et al. An adaptive blocking compressive sensing for image compression[J]. Journal of Zhejiang University of Technology, 46, 392-395,406(2018).

[14] Mun S, Fowler J E. Block compressed sensing of images using directional transforms[C]∥2009 16th IEEE International Conference on Image Processing (ICIP), November 7-10, 2009, Cairo, Egypt., 3021-3024(2009).

[15] Yang L F. The study on texture feature extraction method based on LBP and GLCM[D]. Lanzhou: Lanzhou University, 42-43(2016).

[16] Liu F, Wu J, Yang S Y et al. Research advances on structured compressive sensing[J]. Acta Automatica Sinica, 39, 1980-1995(2013).

[17] Li H B. Research on structured measurement matrix and high performance reconstruction algorithm in image compressive sensing[D]. Chongqing: Chongqing University of Posts and Telecommunications, 28-33(2017).

[18] Sendur L, Selesnick I W. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency[J]. IEEE Transactions on Signal Processing, 50, 2744-2756(2002).

[19] Zhang J. Astronomical image compression and denoising reconstruction algorithms based on compressed sensing[D]. Harbin: Harbin Institute of Technology, 28-32(2018).