Image Filters / denoisetvbregman



Object Research Systems (ORS), Inc.

ORS Team

infotheobjects.com

This filter performs total-variation denoising using split-Bregman optimization [1],[2],[3],[4] , from the scikit package. In general, images with excess noise have high total variation, i.e the magnitude of the gradient is high. This filter focus on split Bregman algorithm to remove unwanted detail whilst preserving important details by reducing the total variation of the noisy input.

References:
[1] https://en.wikipedia.org/wiki/Total_variation_denoising
[2] Tom Goldstein and Stanley Osher, “The Split Bregman Method For L1 Regularized Problems”, ftp://ftp.math.ucla.edu/pub/camreport/cam08-29.pdf
[3] Pascal Getreuer, “Rudin–Osher–Fatemi Total Variation Denoising using Split Bregman” in Image Processing On Line on 2012–05–19, https://www.ipol.im/pub/art/2012/g-tvd/article_lr.pdf
[4] https://web.math.ucsb.edu/~cgarcia/UGProjects/BregmanAlgorithms_JacquelineBush.pdf



Installing extensions requires ORS Dragonfly 3.1 or later.