Optimization of Depth from Defocus Based on Iterative Shrinkage Thresholding Algorithm
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Yongjun Liu | Jinlong Zheng | Mingxin Zhang | Qiuyu Wu | Yongjun Liu | Mingxin Zhang | Qiuyu Wu | Jinlong Zheng
[1] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[2] Kun Zhou,et al. Bayesian Depth-from-Defocus with Shading Constraints , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[4] Stefano Soatto,et al. Observing Shape from Defocused Images , 2004, International Journal of Computer Vision.
[5] Stefano Soatto,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE IEEE TRANSACTION OF PATTERN RECO , 2022 .
[6] Alex Pentland,et al. A New Sense for Depth of Field , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Murali Subbarao,et al. Depth from defocus: A spatial domain approach , 1994, International Journal of Computer Vision.
[8] Alvaro R. De Pierro,et al. Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms , 2016, Digit. Signal Process..
[9] Jitendra Malik,et al. Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Shree K. Nayar,et al. Real-Time Focus Range Sensor , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Elias S. Helou,et al. Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions , 2017, IEEE Transactions on Image Processing.
[12] Michael Elad,et al. L1-L2 Optimization in Signal and Image Processing , 2010, IEEE Signal Processing Magazine.