Using High Order Total Variation for Denoising Speckle, Gaussian, Salt & Pepper

被引：1

作者：

Ghofrani, Sedigheh ^{[1
]}

Markarian, Haybert ^{[1
]}

机构：

[1] Islamic Azad Univ, Elect & Elect Engn Dept, Tehran South Branch, Tehran, Iran

来源：

2016 INTERNATIONAL CONFERENCE ON MICRO-ELECTRONICS AND TELECOMMUNICATION ENGINEERING (ICMETE) | 2016年

关键词：

higher order TV; SAR denoising; speckle suppression; total variation; IMAGES;

D O I：

10.1109/ICMETE.2016.37

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Noise reduction for image enhancement is the important issue for any image processing algorithm. Total variation (TV) regularization based methods were proposed for multiplicative speckle noise reduction, though sometimes have the undesirable staircase effect. As a solution for this problem, high order TV (High-TV) algorithm was proposed. In this paper we use the High-TV not only for speckle but also Gaussian and salt & pepper noises. The performance among High-TV and some TV based denoising algorithms are also compared in terms of objective and subjective image assessment parameters for two test images and two true SAR images degraded by speckle noise.

引用

页码：282 / 286

页数：5

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