An improved model of Double-entry adaptive TV

Chengxi CHU*, Gang LI, Yang LOU, Junli LI

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

This paper describes the classic total variation denoising model and its improved models, and gives a simple comparison of the characteristics of each model An adaptive spatial fidelity term is intended to ease the smoothing effect by the second-order nonlinear filtering over the details. An adaptive regularization term is used to reduce the "staircase effect", and to achieve a more stable and converged value. We proposed two improvements, one is a new adaptive regularization term based on local information of the pre-image; the other is a double-entry adaptive model We use SNR to quantify the effect of de-noising, and residual images to evaluate the loss of details and texture of the images. The results show that the improved method can achieve good results in the case of high noise as well Compared to the original method, the proposed has better noise robustness.

Original languageEnglish
Title of host publicationProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
PublisherThe Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Pages1744-1748
Number of pages5
ISBN (Print)9781467300223
DOIs
Publication statusPublished - May 2012
Externally publishedYes
Event2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, China
Duration: 29 May 201231 May 2012

Conference

Conference2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Country/TerritoryChina
CityChongqing
Period29/05/1231/05/12

Keywords

  • Adaptive fidelity term
  • Adaptive regularization term
  • Image de-noising
  • Staircase effect

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