Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform
Abstract Image quality in low-light environments is typically poor, characterized by low contrast, reduced visibility, and sensor noise. These issues not only impair human visual perception but also pose significant challenges for computer vision tasks. To address these problems, various Low-light I...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-06-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44443-025-00102-6 |
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