Results 81 to 90 of about 1,383 (181)
Low-Light Mine Image Enhancement Algorithm Based on Improved Retinex
Applied SciencesAiming at solving the problems of local halo blurring, insufficient edge detail preservation, and serious noise in traditional image enhancement algorithms, an improved Retinex algorithm for low-light mine image enhancement is proposed.
Feng Tian, Mengjiao Wang, Xiaopei Liu
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Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression
MathematicsTone-mapping algorithms aim to compress a wide dynamic range image into a narrower dynamic range image suitable for display on imaging devices. A representative tone-mapping algorithm, Retinex theory, reflects color constancy based on the human visual ...
Yu-Joong Kim, Dong-Min Son, Sung-Hak Lee
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A mixed enhancement algorithm of video monitoring image on fully-mechanized coal mining face
Gong-kuang zidonghua, 2016 In view of problem of longitudinal stripe noise existed in single dimension Retinex algorithm, a mixed enhancement algorithm of image was proposed. The algorithm uses template denoising algorithm to reduce longitudinal stripe noise of conventional single
XU Rongxin +4 more
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Submicron structure random field on granular soil material with retinex algorithm optimization
EPJ Web of Conferences, 2017 In this paper, a Retinex scale optimized image enhancement algorithm is proposed, which can enhance the micro vision image and eliminate the influence of the uneven illumination.
Liang Yu +4 more
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Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
CoRRThis paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We conceptualize the diffusion model as a black-box image render and strategically decompose its energy function in alignment with the image formation model.
Xiaoyan Xing +5 more
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DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
CoRRMany existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as noise, quantization error, non-linearity, and dynamic range overflow. In this paper, we propose a new expression called Digital-Imaging Retinex theory (DI-Retinex) through ...
Shangquan Sun +4 more
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Journal of Physics: Conference SeriesAbstract Retinex has many algorithmic variants, differing in the method used to decouple illumination from reflectance, including path-based methods, center-surround operators, and lightness processing. The center-surround approach is putatively the most compatible with the human visual mechanism, as it mimics the operation in ...
Afsaneh Karami, Graham Finlayson
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Journal of Problems in Computer Science and Information TechnologiesLow-light perception is a core requirement for robotics, inspection, and wearable situational awareness, yet reliable night- vision solutions often require expensive sensors or computation- ally heavy processing.
Zaki Al-Farabi +6 more
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Development of Optimized Adaptive Multiscale Retinex Deep Learning Model for Image Enhancement
IEEE AccessHigh-quality image plays a crucial role in many applications, including medical diagnosis, communications and remote sensing and reflect the details of the target scene more clearly, which guarantee the subsequent image processing strongly.
Lakshmi Kumari, Neetu Mittal, Megha Modi
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IMPLEMENTASI METODE RETINEX UNTUK PENCERAHAN CITRA
Jurnal Informatika, 2012 Data atau informasi tidak hanya disajikan dalam bentuk teks, tetapi juga dapat berupa gambar, audio, dan video. Citra/gambar mempunyai karakteristik yang tidak dimiliki oleh teks, yaitu citra kaya dengan informasi.
Murinto Kusno +2 more
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