Results 71 to 80 of about 1,389 (179)
In order to improve the working efficiency of robot promptly picking ripe apples, the harvesting robot must have the ability of continuous recognition and operation at night. Nighttime apple image has many dark spaces and shadows with low resolution, and
Ji Wei, Qian Zhijie, Xu Bo, Zhao Dean
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Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression
Tone-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
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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Low-Light Mine Image Enhancement Algorithm Based on Improved Retinex
Aiming 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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Submicron structure random field on granular soil material with retinex algorithm optimization
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
This 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
Many 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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Abstract 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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Low-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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Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
Considering the preservation of color constancy and the improvement of contrast ratio of foggy image en-hancement, the foggy image enhancement algorithm based on the total variational Retinex gradient domain method was proposed.
Bing-quan CHEN, Hong-li LIU
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