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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.11 No.6
- 발행연도
- 2022.12
- 수록면
- 412 - 420 (9page)
- DOI
- 10.5573/IEIESPC.2022.11.6.412
이용수
초록· 키워드
오류제보하기
A deep texture adaptive denoising method is proposed to achieve high perceptual image quality. Textual information is learned through a designed loss function utilizing a pre-generated texture map to distinguish textual areas from flat areas. In the training process, the proposed network internally finds texture and flat regions and differs in denoising strength in the two regions. Unlike existing DNN-based denoising methods, the proposed method retains high-frequency textual information while removing residual noise in flat regions as much as possible. The gradient distribution of the image before and after the denoising was compared. The proposed method outperformed the existing methods with higher PSNR and SSIM scores in visual quality. In addition, the strength of removing textual noise was controllable with a single parameter. Thus, the proposed method is practically feasible as a denoising apparatus.
목차
Abstract
1. Introduction
2. Related Work
3. The Proposed Scheme
4. Performance Evaluation
5. Conclusion
References
참고문헌 (29)
참고문헌 신청
J. Xu, L. Zhang and D. Zhang, "External prior guided internal prior learning for real-world noisy image denoising", IEEE Transactions on Image Processing, 27(6), pp. 2996-3010, 2018. Article (CrossRef Link)
Wang, Tianyang, Mingxuan Sun, and Kaoning Hu. "Dilated deep residual network for image denoising", IEEE 29th international conference on tools with artificial intelligence (ICTAI). IEEE, 2017. Article (CrossRef Link)
Xu, Qingyang, Chengjin Zhang, and Li Zhang. "Denoising convolutional neural network", IEEE International Conference on Information and Automation. IEEE, 2015. Article (CrossRef Link)
C. Cruz, A. Foi, V. Katkovnik and K. Egiazarian, "Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising", IEEE Signal Process Letter, 25(8), pp. 1216-1220, 2018. Article (CrossRef Link)
Zhang, K., Zuo, W., Zhang, L., "FFDnet: toward a fast and flexible solution for CNN-based image denoising", IEEE Transactions on Image Processing, 27(9), pp. 4608-4622, 2018. Article (CrossRef Link)
Wang, Tianyang, Mingxuan Sun, and Kaoning Hu. "Dilated deep residual network for image denoising", IEEE 29th international conference on tools with artificial intelligence (ICTAI). IEEE, 2017. Article (CrossRef Link)
Xu, Qingyang, Chengjin Zhang, and Li Zhang. "Denoising convolutional neural network", IEEE International Conference on Information and Automation. IEEE, 2015. Article (CrossRef Link)
C. Cruz, A. Foi, V. Katkovnik and K. Egiazarian, "Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising", IEEE Signal Process Letter, 25(8), pp. 1216-1220, 2018. Article (CrossRef Link)
Zhang, K., Zuo, W., Zhang, L., "FFDnet: toward a fast and flexible solution for CNN-based image denoising", IEEE Transactions on Image Processing, 27(9), pp. 4608-4622, 2018. Article (CrossRef Link)
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