An effective directional interpolation- and inpainting-based algorithm for removing impulse noise

被引：2

作者：

Chung, Kuo-Liang ^{[1
]}

Huang, Yong-Huai ^{[2
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 10672, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, New Taipei 23154, Taiwan

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2018年 / 77卷 / 13期

关键词：

Highly corrupted images; Directional interpolation; Impulse noise removal; Inpainting; Objective and subjective quality comparison; MEDIAN FILTERS; IMAGE;

D O I：

10.1007/s11042-017-5216-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an effective directional interpolation- and inpainting-based impulse noise removal algorithm is proposed. Firstly, each noisy pixel is classified to either the low-density noise or the middle/high density noise. Secondly, a directional interpolation-based noise removal procedure is proposed to denoise the low-density noise. Thirdly, an inpainting-based noise removal procedure is proposed to denoise the middle/high-density noise. Based on ten typical test images, each image with noise level ranging from 30 to 90%, the experimental results demonstrate that in terms of peak-signal-to-noise-ratio (PSNR), structural similarity index (SSIM), and visual effect, the proposed algorithm has the best quality performance when compared with six state-of-the-art noise removal algorithms.

引用

页码：16477 / 16493

页数：17

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