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http://hdl.handle.net/10397/107162
Title: | Enhancement of a CNN-based denoiser based on spatial and spectral analysis | Authors: | Zhao, R Lam, KM Lun, DPK |
Issue Date: | 2019 | Source: | In Proceedings of 2019 IEEE International Conference on Image Processing (ICIP), 22-25 September 2019, Taipei, Taiwan, p. 1124-1128 | Abstract: | Convolutional neural network (CNN)-based image denoising methods have been widely studied recently, because of their high-speed processing capability and good visual quality. However, most of the existing CNN-based denoisers learn the image prior from the spatial domain, and suffer from the problem of spatially variant noise, which limits their performance in real-world image denoising tasks. In this paper, we propose a discrete wavelet denoising CNN (WDnCNN), which restores images corrupted by various noise with a single model. Since most of the content or energy of natural images resides in the low-frequency spectrum, their transformed coefficients in the frequency domain are highly imbalanced. To address this issue, we present a band normalization module (BNM) to normalize the coefficients from different parts of the frequency spectrum. Moreover, we employ a band discriminative training (BDT) criterion to enhance the model regression. We evaluate the proposed WDnCNN, and compare it with other state-of-the-art denoisers. Experimental results show that WDnCNN achieves promising performance in both synthetic and real noise reduction, making it a potential solution to many practical image denoising applications. | Keywords: | Convolutional neural networks Discrete wavelet transform Image denoising Spatial-spectral analysis |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-5386-6249-6 (Electronic) 978-1-5386-6250-2 (Print on Demand(PoD)) |
DOI: | 10.1109/ICIP.2019.8804295 | Description: | 2019 IEEE International Conference on Image Processing (ICIP), 22-25 September 2019, Taipei, Taiwan | Rights: | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication R. Zhao, K. -M. Lam and D. P. K. Lun, "Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis," 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019 is available at https://doi.org/10.1109/ICIP.2019.8804295. |
Appears in Collections: | Conference Paper |
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Zhao_Enhancement_Cnn-Based_Denoiser.pdf | Pre-Published version | 1.71 MB | Adobe PDF | View/Open |
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