원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.8
2015.08
pp.151-158
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper investigates the problem of image restoration when the image is corrupted by Pepper-and-salt noise and proposes a new restoration algorithm based on quadtree data structures. The crucial parts of the algorithm are picking noise and fuzzy estimation, so that unlike some other usual denoising methods, it avoids blurring and averaging edges and non-noise pixels. This paper describes, analyzes and compares several methods and results of removing noise from image. Experimental results indicate that the new algorithm proposed by this paper is superior.
목차
Abstract
1. Introduction
2. Theory and Algorithm
A. Picking Noise
B. Quadtrees
C. Fuzzy estimation algorithm
D. Multi-image Processing
3. Experimental Results
4. Discussions
5. Conclusions
References
1. Introduction
2. Theory and Algorithm
A. Picking Noise
B. Quadtrees
C. Fuzzy estimation algorithm
D. Multi-image Processing
3. Experimental Results
4. Discussions
5. Conclusions
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보