Weight-adopted Salt and Pepper Noise Reduction Scheme
- 발행기관 아주대학교
- 발행년도 2012
- 학위수여년월 2012. 8
- 학위명 석사
- 학과 및 전공 일반대학원 컴퓨터공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000012717
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
In this thesis, we propose a new adaptive noise reduction scheme for images corrupted by impulse noise is presented. The proposed scheme efficiently identifies and reduces salt and pepper noise. MAG (Mean Absolute Gradient) is used to identify pixels which are most likely corrupted by salt and pepper noise that are candidates for further median based noise reduction processing. Directional filtering is then applied after noise reduction to achieve a good tradeoff between detail preservation and noise removal. The proposed scheme can remove salt and pepper noise with noise density as high as 90% and produce better result in terms of qualitative and quantitative measures of images.
more목차
1 Introduction 1
1.1 Objective of the Research 2
1.2 Methodology of Research 2
1.3 Organization of the Thesis 3
2 Related Work 4
3 Proposed Scheme 7
3.1 Overview 7
3.2 Noise detection scheme 8
3.3 Noise reduction scheme 9
3.4 Image enhancement 10
4 Experimental Results and Evaluation 13
4.1 Numerical Comparison 13
4.2 Visual Comparison 16
5 Conclusions 22
