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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/138322

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题名:	An Advanced Noise Reduction and Edge Enhancement Algorithm
作者:	彭彥璁 Peng, Yan-Tsung Huang, Shih-Chia Hoang, Quoc-Viet Le, Trung-Hieu Huang, Ching-Chun
贡献者:	資科系
关键词:	noise removal; deep image prior; edge enhancement; contrast enhancement
日期:	2021-08
上传时间:	2021-12-23 15:40:35 (UTC+8)
摘要:	Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios. Numerous approaches have been developed to solve the problem of image noise removal. However, producing natural and high-quality denoised images remains a crucial challenge. To meet this challenge, we introduce a novel approach for image denoising with the following three main contributions. First, we devise a deep image prior-based module that can produce a noise-reduced image as well as a contrast-enhanced denoised one from a noisy input image. Second, the produced images are passed through a proposed image fusion (IF) module based on Laplacian pyramid decomposition to combine them and prevent noise amplification and color shift. Finally, we introduce a progressive refinement (PR) module, which adopts the summed-area tables to take advantage of spatially correlated information for edge and image quality enhancement. Qualitative and quantitative evaluations demonstrate the efficiency, superiority, and robustness of our proposed method.
關聯:	Sensors, pp.5391
数据类型:	article
DOI 連結:	https://doi.org/10.3390/s21165391
DOI:	10.3390/s21165391
显示于类别:	[資訊科學系] 期刊論文

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