| 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-Dec-2021 15:40:35 (UTC+8) | - |
| dc.date.available | 23-Dec-2021 15:40:35 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-Dec-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 | - |
