원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.12
2016.12
pp.11-18
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Digital Image Processing is basically the implementation of a set of computer algorithms for processing digital images. Digital image processing has probative advantages over Analog image processing. In this content, noise like, Gaussian, Salt and Pepper, Speckle and Poisson, is added to an image and then the original edges are restored using various filters and tools. These tools have remarkable alteration on the image and hence they are widely employed. Some of them are wavelet transform, median filter, Weiner filter and many more.
목차
Abstract
1. Introduction
2. Types of Image Noise
2.1. Gaussian Noise
2.2. Salt and Pepper Noise
2.3. Speckle Noise
2.4. Poisson Noise
3. Types of Filters
3.1. Average Filter
3.2. Median Filter
3.3. Weiner Filter
4. Simulation Results
4.1. De-Noising of Gaussian Noise
4.2. De-Noising of Salt and Pepper Noise
4.3. De-Noising of Speckle Noise
4.4. De-Noising of Poisson Noise
5. Conclusion
6. Scope in Future Work
References
1. Introduction
2. Types of Image Noise
2.1. Gaussian Noise
2.2. Salt and Pepper Noise
2.3. Speckle Noise
2.4. Poisson Noise
3. Types of Filters
3.1. Average Filter
3.2. Median Filter
3.3. Weiner Filter
4. Simulation Results
4.1. De-Noising of Gaussian Noise
4.2. De-Noising of Salt and Pepper Noise
4.3. De-Noising of Speckle Noise
4.4. De-Noising of Poisson Noise
5. Conclusion
6. Scope in Future Work
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보