An Intelligent Restoration Method for Impulse Noise Highly-Corrupted Images

Author

Chen, Thou-Ho ; Chen, Chao-Yu ; Chen, Tsong-Yi ; Wu, Ming-Kun

Author_Institution

Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci.

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

6

Abstract

The paper is dedicated to the restoration of impulse noise highly-corrupted images by exploiting the characteristics of the local similarity and connectivity existed in most real-world images. The basic strategy of the proposed method is firstly to detect a noisy pixel and then restores the corrupted pixel, by the local features of similarity and connectivity in an image. A decision rule based on the number of similar and connective pixels, followed by a line-judgement procedure, is used to determine if it is a noise. A simple local-connectivity (decision-based median) filter based on the noise density level is designed to restore the noisy pixel. Experimental results show that the proposed noise reduction method can remove impulse noise better than other methods in highly corrupted images of noise ratio more than 15%

Keywords

image denoising; image restoration; median filters; decision-based median filter; impulse noise highly-corrupted image; intelligent restoration method; line-judgement procedure; local connectivity; noise density level; noise reduction; Application software; Chaos; Filters; Image edge detection; Image processing; Image restoration; Noise level; Noise reduction; Pixel; Signal to noise ratio; image noise reduction; impulse noise; median filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252306

Filename

4017865