• TV/L2 (ROF) model: min_u TV(u) + lambda||u-f||₂²
• weighted TV/L2 (ROF) model: min_u TV(u) + sum_i (lambda_i |u_i-f_i|²)
• TV/L1 model: min_u TV(u) + lambda||u-f||₁
• weighted TV/L1 model: min_u TV(u) + sum_i (lambda_i |u_i-f_i|)

Version 2.32: [zip package]

• Last update on Jan 17, 2010. A bug causing crash of the TV/L2 code has been fixed.


• Previous update on Oct 04, 2009. Supporting both 2D and 3D images, both 32-bit and 64-bit compilers, and it is open source!


• Support: Windows/Unix, MATLAB, 32/64-bit.
  
  > Please contact me [email] if you need further platform support.
  

Mr. HAN Hu reported successful compilation on both Win XP 32bit + VS2005 + MATLAB 7.7 R2008b and Win 2003 Server 64bit + VS2008 + MATLAB 7.7 R2008b. Thanks to Hu!

An old version on Aug 08, 2007. New version link is above.



1. The TV/L1 binary code with demo: [zip]
2. The ROF (TV/L2) code with demo: [zip]

Citation, Paper and Slides

• Citation:
  
  D. Goldfarb and W. Yin. Parametric Maximum Flow Algorithmsfor Fast Total Variation Minimization. SIAM Journal on Scientific Computing, 31(5), 3712-3743. [pdf]



• Slides for the talk at UCLA Math on 06/01/2007: [ppt]