원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.3
2014.06
pp.171-180
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Deep learning is an emerging approach for finding concise, slightly higher level representations of the inputs, and has been successfully applied to many practical learning problems, where the goal is to use large data to help on a given learning task. We present an algorithm for image denoising task defined by this model, and show that by training on large image databases we are able to outperform the current state-of-the-art image denoising methods.
목차
Abstract
1. Introduction
2. The Model
3. Learning to Denoise
3.1. Feature Learning
3.2. Image Restoration
4. Experiments
5. Conclusion and Future Work
References
1. Introduction
2. The Model
3. Learning to Denoise
3.1. Feature Learning
3.2. Image Restoration
4. Experiments
5. Conclusion and Future Work
References
저자정보
참고문헌
자료제공 : 네이버학술정보
