| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6941601 | Signal Processing: Image Communication | 2018 | 8 Pages |
Abstract
In this paper, we address the poor generalization ability problem of traditional auto-encoder on noise data, and propose a Lossless-constraint Denoising (LD) method, which can enhance the anti-noise ability and robustness of auto-encoders. We respectively utilize the denoising capability of Denoising Auto-encoder (DAE) and Sparse Auto-encoder (SAE), design two auto-encoders of better noise immunity: Lossless-constraint Denoising Auto-encoder (LDAE) and Lossless-constraint Denoising Sparse Auto-encoder (LDSAE).
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Jinsong Zhang, Yi Zhang, Lianfa Bai, Jing Han,