A Variational Model for Staircase Reduction in Image Denoising. Issue 2 (1st March 2017)

• Record Type: Journal Article
• Authors: Tang, Liming; Fang, Zhuang; Xiang, Changcheng; Chen, Shiqiang; Huang, Darong
• Is Part Of: Chinese journal of electronics. Volume 26:Issue 2(2017)
• Page Start: 358
• Page End: 366
• Publication Date: 2017-03-01
• Subjects: Image denoising -- Staircase -- Variation -- BV space -- Besov space; image denoising -- iterative methods -- variational techniques -- wavelet transforms; staircase reduction -- noise removal -- WST algorithm -- wavelet soft thresholding algorithm -- dual projection algorithm -- alternating iteration algorithm -- piecewise smooth component -- piecewise constant component -- Besov‐seminorm -- BV‐seminorm -- image denoising -- total variation based models -- variational model; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2017.01.015
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : We propose a new variational model to reduce the staircase that often appears in Total variation (TV) based models in image denoising. The model uses BV ‐seminorm and Besov‐seminorm to measure the piecewise constant component and piecewise smooth component of the image, respectively. We discuss the nontrivial property of the proposed model and introduce an alternating iteration algorithm that combines the dual projection algorithm with Wavelet soft thresholding (WST) algorithm to solve the model numerically. The experimental results show that the proposed model is effective for noise removal and staircase reduction, while the contour can be preserved in the denoised images. Furthermore, compared with two classical staircase reduction models, CEP2 and TGV, the proposed model is much faster than these two models.