Optics and Precision Engineering, Volume. 19, Issue 8, 1973(2011)
Total variation image restoration for mixed blur in moving image
[2] [2] DUAN C Y, LI Y M, PAN X L, et al.. Blur identification of the degraded images based on Fourier analysis[J]. Journal of Yunnan University(Natural Sciences Edition),2009,31(S2): 9-11. (in Chinese)
[5] [5] GUO Y C, GUO R R, GAO CH. Identification of blur parameters from motion blurred images[J]. Chinese Journal of Scientific Instrument, 2010,31(5): 1052-1057. (in Chinese)
[7] [7] DOBES M, MACHALA L. Blurred image restoration: a fast method of finding the motion length and angle [J]. Digital Signal Processing, 2010, 20(6): 1677-1686.
[8] [8] KANO H, HATANAKA H, FUKUMOTO S, et al.. Motion blur estimation of handheld camera using regular- and short-exposure image pair [C]. Proceedings of the Sixth IEEE International Conference on Image Processing, Cairo, Egypt: ICIP, 2009: 1309-1312.
[9] [9] ZHANG L X, XIA D SH. Staircase effect alleviation by coupling gradient fidelity term [J]. Image and Vision Computing, 2008,26(8): 1163-1170.
[10] [10] SHI M ZH, XU T F. Adaptive total variation image restoration coupling with a gradient fidelity term [C]. Proceedings of the Third International Congress on Image and Signal Processing (CISP), Yantai, P.R. China: CISP, 2010: 821-825.
[11] [11] RUDIN L, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms [J]. Physica D, 1992, 60: 259-268.
[12] [12] VOGEL C R, OMAN M E. Iterative methods for total variation denoising [J]. SIAM Journal on Scientific Computing, 1996,17(1): 227-238.
[13] [13] CHAN T F, GOLUB G H, MULET P. A nonlinear primal-dual method for total variation-based image restoration [J]. SIAM Journal on Scientific Computing, 1998, 20(6): 1964-1977.
[14] [14] GOLDSTEIN T, OSHER S. The split bregman method for L1-regularized problems [J]. SIAM Journal on Imaging Science, 2009,2(2): 323-343.
[15] [15] LIU X W, HUANG L H. Split bregman iteration algorithm for total bounded variation regularization based image deblurring [J].Journal of Mathematical Analysis and Applications, 2010, 372(2): 486-495.
[16] [16] SETZER S, STEIDL G, TEUBER T. Deblurring poissonian images by split bregman techniques [J]. Journal of Visual Communication and Image Representation, 2010,21(3): 193-199.
[17] [17] MING L. A fast algorithm for color image enhancement with total variation regularization [J]. Science China-Information Science, 2010, 53(9): 1913-1916.
[18] [18] CAI J F, OSHER S, SHEN Z W. Split bregman methods and frame based image restoration [J]. Multiscale Modeling and Simulation, 2009,8(2): 337-369.
[19] [19] YI D,LEE S. Fourth-order partial differential equations for image enhancement[J]. Applied Mathematics and Comjputation, 2006, 175: 430-440.
Get Citation
Copy Citation Text
SHI Ming-zhu, XU Ting-fa, ZHANG Kun. Total variation image restoration for mixed blur in moving image[J]. Optics and Precision Engineering, 2011, 19(8): 1973
Category:
Received: Jun. 9, 2011
Accepted: --
Published Online: Aug. 29, 2011
The Author Email: Ming-zhu SHI (shimingzhu1@163.com)