원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.2
2016.02
pp.135-142
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper mainly study traditional histogram image enhancement method. Aiming at the lack of image enhancement, a method based on human visual model was proposed, and the experimental results show that this algorithm has better performance than is a traditional histogram equalization method, which provided a good direction studying image enhancement algorithm.
목차
Abstract
1. Introduction
2. Based on the Principle of the Histogram Enhancement
3. Image Enhancement based on HVM
3.1. What is JND
3.2. The Establishment of JND
3.3. The Establishment of OND
4. Result Evaluation
4.1. Traditional Digital Image Quality Evaluation Parameters
4.2. MSSIM (Mean Structural Similarity)
4.3. Image Enhancement Result and Quality Evaluation
5. Conclusion
References
1. Introduction
2. Based on the Principle of the Histogram Enhancement
3. Image Enhancement based on HVM
3.1. What is JND
3.2. The Establishment of JND
3.3. The Establishment of OND
4. Result Evaluation
4.1. Traditional Digital Image Quality Evaluation Parameters
4.2. MSSIM (Mean Structural Similarity)
4.3. Image Enhancement Result and Quality Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보