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題名 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
貢獻者 資科系
關鍵詞 noise removal ;  deep image prior ;  edge enhancement ;  contrast enhancement
日期 2021-08
上傳時間 23-十二月-2021 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
資料類型 article
DOI https://doi.org/10.3390/s21165391
dc.contributor 資科系-
dc.creator (作者) 彭彥璁-
dc.creator (作者) Peng, Yan-Tsung-
dc.creator (作者) Huang, Shih-Chia-
dc.creator (作者) Hoang, Quoc-Viet-
dc.creator (作者) Le, Trung-Hieu-
dc.creator (作者) Huang, Ching-Chun-
dc.date (日期) 2021-08-
dc.date.accessioned 23-十二月-2021 15:40:35 (UTC+8)-
dc.date.available 23-十二月-2021 15:40:35 (UTC+8)-
dc.date.issued (上傳時間) 23-十二月-2021 15:40:35 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/138322-
dc.description.abstract (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.-
dc.format.extent 8440890 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Sensors, pp.5391-
dc.subject (關鍵詞) noise removal ;  deep image prior ;  edge enhancement ;  contrast enhancement-
dc.title (題名) An Advanced Noise Reduction and Edge Enhancement Algorithm-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.3390/s21165391-
dc.doi.uri (DOI) https://doi.org/10.3390/s21165391-