The digital TV filter and nonlinear denoising

  • Authors:
  • T. F. Chan;S. Osher;J. Shen

  • Affiliations:
  • Dept. of Math., California Univ., Los Angeles, CA;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2001

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Abstract

Motivated by the classical TV (total variation) restoration model, we propose a new nonlinear filter-the digital TV filter for denoising and enhancing digital images, or more generally, data living on graphs. The digital TV filter is a data dependent lowpass filter, capable of denoising data without blurring jumps or edges. In iterations, it solves a global total variational (or L1) optimization problem, which differs from most statistical filters. Applications are given in the denoising of one dimensional (1-D) signals, two-dimensional (2-D) data with irregular structures, gray scale and color images, and nonflat image features such as chromaticity