FTVd: A Fast Algorithm for Total Variation based Deconvolution. FTVd refers to Fast Total Variation (TV) deconvolution, and is a TV based deconvolution / denoising package. The latest package includes fast solvers for the TV/L2 and TV/L1 models, which are compatible with both grayscale and color images. FTVd can be easily modified to work with three and higher dimensional image/data.

References in zbMATH (referenced in 35 articles )

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  1. K├Ânig, Claudia; Werner, Frank; Hohage, Thorsten: Convergence rates for exponentially ill-posed inverse problems with impulsive noise (2016)
  2. Ma, Liyan; Zeng, Tieyong: Image deblurring via total variation based structured sparse model selection (2016)
  3. Shen, Yuan; Wang, Hongyong: New augmented Lagrangian-based proximal point algorithm for convex optimization with equality constraints (2016)
  4. Li, Qia; Shen, Lixin; Xu, Yuesheng; Zhang, Na: Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing (2015)
  5. Sciacchitano, Federica; Dong, Yiqiu; Zeng, Tieyong: Variational approach for restoring blurred images with Cauchy noise (2015)
  6. Aybat, Necdet Serhat; Goldfarb, Donald; Ma, Shiqian: Efficient algorithms for robust and stable principal component pursuit problems (2014)
  7. Chen, Feishe; Shen, Lixin; Xu, Yuesheng; Zeng, Xueying: The Moreau envelope approach for the L1/TV image denoising model (2014)
  8. Shen, Yuan; Zhang, Wenxing; He, Bingsheng: Relaxed augmented Lagrangian-based proximal point algorithms for convex optimization with linear constraints (2014)
  9. Shen, Y.; Wen, Z.; Zhang, Y.: Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization (2014)
  10. Whyte, Oliver; Sivic, Josef; Zisserman, Andrew: Deblurring shaken and partially saturated images (2014) ioport
  11. Chan, Raymond H.; Tao, Min; Yuan, Xiaoming: Constrained total variation deblurring models and fast algorithms based on alternating direction method of multipliers (2013)
  12. Chan, R.H.; Lanza, A.; Morigi, S.; Sgallari, F.: An adaptive strategy for the restoration of textured images using fractional order regularization (2013)
  13. Micchelli, Charles A.; Shen, Lixin; Xu, Yuesheng; Zeng, Xueying: Proximity algorithms for the L1/TV image denoising model (2013)
  14. Mu, Xuewen; Zhang, Yaling: An alternating direction method for second-order conic programming (2013)
  15. Clason, Christian; Jin, Bangti: A semismooth Newton method for nonlinear parameter identification problems with impulsive noise (2012)
  16. Guo, Weihong; Yin, Wotao: Edge guided reconstruction for compressive imaging (2012)
  17. Hahn, Jooyoung; Wu, Chunlin; Tai, Xue-Cheng: Augmented Lagrangian method for generalized TV-Stokes model (2012)
  18. Xiao, Yun-Hai; Song, Hui-Na: An inexact alternating directions algorithm for constrained total variation regularized compressive sensing problems (2012)
  19. Xiao, Yunhai; Yang, Junfeng; Yuan, Xiaoming: Alternating algorithms for total variation image reconstruction from random projections (2012)
  20. Xu, Yangyang; Yin, Wotao; Wen, Zaiwen; Zhang, Yin: An alternating direction algorithm for matrix completion with nonnegative factors (2012)

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