SPARSITY-BASED IMAGE DENOISING VIA DEEP LEARNING AND STRUCTURAL CLUSTERING
| Main Author: | Mehak Khosla1 & Ram Singh*2 |
|---|---|
| Format: | Article |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1411427 |
Daftar Isi:
- Image Denoising is still a major challenge in image processing. To restore noise free images deep learning are used nowadays. That are used to extract features from low level to high level and used many hidden layers. While there are two challenges in deep learning one is overfitting and second is regularization. Regularization include weight decay and sparsity. Inspired by the success of deep learning we combine the deep learning and structural clustering based sparse representation into one framework to enhance the algorithm. Our experiment result have shown which noise is better and give good result using different noise variance. The 12 generic natural images are taken and comparison table is made and shown which noise provide good result at different variance of noise.