图像边缘信息辅助的压缩采样策略 下载: 897次
杨俊, 潘博, 陈丽, 朱永安, 蒋涛, 崔晨. 图像边缘信息辅助的压缩采样策略[J]. 激光与光电子学进展, 2020, 57(8): 081018.
Jun Yang, Bo Pan, Li Chen, Yongan Zhu, Tao Jiang, Chen Cui. Image Edge Information Aided Compressive Sampling Strategy[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081018.
[1] Romberg J. Compressive sensing by random convolution[J]. SIAM Journal on Imaging Sciences, 2009, 2(4): 1098-1128.
[2] Candes E J, Tao T. Near-optimal signal recovery from random projections: universal encoding strategies?[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425.
[3] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[4] Lustig M, Donoho D, Pauly J M. Sparse MRI: the application of compressed sensing for rapid MR imaging[J]. Magnetic Resonance in Medicine, 2007, 58(6): 1182-1195.
[5] 袁静, 李琦, 巩文盼. 压缩感知三维重建算法控制参数对太赫兹数字全息再现的影响[J]. 中国激光, 2018, 45(10): 1014001.
[6] 王与烨, 任宇琛, 陈霖宇, 等. 基于分块压缩感知理论的太赫兹波宽光束成像技术[J]. 光学学报, 2019, 39(4): 0407001.
[7] 骆乐, 陈钱, 刘星炯, 等. 基于扩展小波树的彩色自适应压缩成像[J]. 激光与光电子学进展, 2019, 56(1): 010301.
[9] Wu XL, Zhang XJ, WangJ. Model-guided adaptive recovery of compressive sensing[C]∥2009 Data Compression Conference, March 16-18, 2009, Snowbird, Utah, USA. New York: IEEE, 2009: 123- 132.
[10] SoniA, HauptJ. Learning sparse representations for adaptive compressive sensing[C]∥2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 25-30, 2012, Kyoto, Japan. New York: IEEE, 2012: 2097- 2100.
[11] SoniA, HauptJ. Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries[C]∥2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), November 6-9, 2011, Pacific Grove, CA, USA. New York: IEEE, 2011: 1250- 1254.
[12] MunS, Fowler JE. Block compressed sensing of images using directional transforms[C]∥2009 16th IEEE International Conference on Image Processing (ICIP), November 7-10, 2009, Cairo, Egypt. New York: IEEE, 2009: 3021- 3024.
[14] Bioucas-Dias J M, Figueiredo M A T. A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration[J]. IEEE Transactions on Image Processing, 2007, 16(12): 2992-3004.
[16] LiC, YinW, ZhangY. User’s guide for TVAL3: TV minimization by augmented Lagrangian and alternating direction algorithms[M]. China: CAAM, 2009.
[17] CannyJ. A computational approach to edge detection[M] ∥Fischler M A, Firschein O. Readings in computer vision. California: Morgan Kaufmann Publishers, 1987: 184- 203.
[18] Parker JR. Algorithms for image processing and computer vision[M]. UK: John Wiley & Sons, 2010: 42- 46.
[19] Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 1992, 60: 259-268.
[20] Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.
[21] Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction[J]. IEEE Transactions on Information Theory, 2009, 55(5): 2230-2249.
[23] Hale E T, Yin W, Zhang Y. Fixed-point continuation for ℓ1-minimization: methodology and convergence[J]. SIAM Journal on Optimization, 2008, 19(3): 1107-1130.
[24] van den Berg E, Friedlander M P. Probing the pareto frontier for basis pursuit solutions[J]. SIAM Journal on Scientific Computing, 2009, 31(2): 890-912.
[25] Cand s E J, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
[26] DaiQ, Sha W. The physics of compressive sensing and the gradient-based recoveryalgorithms[J/OL]. ( 2009-06-08)[2019-09-03]. https:∥arxiv.xilesou.top/abs/0906. 1487.
[27] Alliney S, Ruzinsky S A. An algorithm for the minimization of mixed l1 and ℓ2 norms with application to Bayesian estimation[J]. IEEE Transactions on Signal Processing, 1994, 42(3): 618-627.
[28] Osher S, Solé A, Vese L. Image decomposition and restoration using total variation minimization and the H 1[J]. Multiscale Modeling & Simulation, 2003, 1(3): 349-370.
[29] Hager W W, Zhang H. A survey of nonlinear conjugate gradient methods[J]. Pacific Journal of Optimization, 2006, 2(1): 35-58.
杨俊, 潘博, 陈丽, 朱永安, 蒋涛, 崔晨. 图像边缘信息辅助的压缩采样策略[J]. 激光与光电子学进展, 2020, 57(8): 081018. Jun Yang, Bo Pan, Li Chen, Yongan Zhu, Tao Jiang, Chen Cui. Image Edge Information Aided Compressive Sampling Strategy[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081018.