| Title | Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition |
| Creator | |
| Date Issued | 2023-05-31 |
| Source Publication | ACM Transactions on Multimedia Computing, Communications and Applications
 |
| ISSN | 1551-6857 |
| Volume | 19Issue:6 |
| Abstract | This article proposes a frequency-based structure and texture decomposition model in a Retinex-based framework for low-light image enhancement and noise suppression. First, we utilize the total variation-based noise estimation to decompose the observed image into low-frequency and high-frequency components. Second, we use a Gaussian kernel for noise suppression in the high-frequency layer. Third, we propose a frequency-based structure and texture decomposition method to achieve low-light enhancement. We extract texture and structure priors by using the high-frequency layer and a low-frequency layer, respectively. We present an optimization problem and solve it with the augmented Lagrange multiplier to generate a balance between structure and texture in the reflectance map. Our experimental results reveal that the proposed method can achieve superior performance in naturalness preservation and detail retention compared with state-of-the-art algorithms for low-light image enhancement. Our code is available on the following website1. |
| Keyword | denosing low-light image enhancement Retinex theory |
| DOI | 10.1145/3590965 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85150543922 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11585 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Zhou，Mingliang |
| Affiliation | 1.The School of Computer Science,Chongqing University,Chongqing,40044,China 2.State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,University of Macau,999078,Macao 3.Beijing Normal University,Zhuhai,China 4.Guangdong Key Lab of AI Multi-Modal Data Processing BNU-HKBU,United International College,Zhuhai,2000 Jintong Street,519087,China |
| Recommended Citation GB/T 7714 | Zhou，Mingliang,Leng，Hongyue,Fang，Binet al. Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 19(6). |
| APA | Zhou，Mingliang, Leng，Hongyue, Fang，Bin, Xiang，Tao, Wei，Xuekai, & Jia，Weijia. (2023). Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition. ACM Transactions on Multimedia Computing, Communications and Applications, 19(6). |
| MLA | Zhou，Mingliang,et al."Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition". ACM Transactions on Multimedia Computing, Communications and Applications 19.6(2023). |
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