The Role of the Light Decay Enhancement Module

In summary, the main contribution is three-fold: We propose an edge computing driven deep learning method for object detection in low-light conditions, which designs the overall structure of cloud-bas...

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Role Light Decay Enhancement

(PDF) LUXFormer: Low-light image enhancement via joint spatial

Low-light image enhancement techniques have significantly progressed, but unstable image quality recovery and unsatisfactory visual perception are still significant challenges.

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A Versatile Low-Light Enhancement Module for Improved Workpiece

This study presents a versatile Low-Light Enhancement Module (LLEM) to enhance object detection models, particularly for workpieces in challenging lighting cond

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Efficient Dual-Domain Collaborative Enhancement Method for Low-Light

Enhancing low-light images in construction scenarios is crucial for reliable structural health monitoring and automated defect detection in building projects.

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LLD-YOLO: a multi-module network for robust vehicle

To address the issues of low model perception and decreased detection accuracy caused by low-light image characteristics, we designed a low-light enhancement module.

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A Low-Illumination Enhancement Method Based on Structural Layer

In order to solve this problem, this paper proposed a low-illumination enhancement method based on structural and detail layers. Firstly, we designed an SRetinex-Net model. The

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Multimodal Low-light Image Enhancement with Depth Information

This not only demonstrates the importance of introducing depth information for low-light image enhancement, but also validates the effectiveness of the MFC module we designed.

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Efficient Dual-Domain Collaborative Enhancement

Enhancing low-light images in construction scenarios is crucial for reliable structural health monitoring and automated defect detection in building

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Edge Computing Driven Low-Light Image Dynamic Enhancement

We propose parallel and dynamic enhancement subnet-works for extremely low-light image enhancement in cloud computing stage, which not only saves computing time by parallel running

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Low light Image Enhancement for Video Object Detection Using

Hence, this study aims to help improve video object detection, particularly in regions of low illumination, utilizing the Enhanced Zero DCE model. This deep-learning framework does not require any

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Degradation-Consistent Learning via Bidirectional Diffusion for Low

To address these challenges, we propose a bidirectional diffusion optimization mechanism that jointly models the degradation processes of both low-light and normal-light images,

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Illumination-adaptive feature enhancement for low-light object

IAFE is explicitly designed for detection-oriented enhancement by jointly modeling unified light adaptation and extracting object-related features, thereby aligning the optimization objectives of

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(PDF) LUXFormer: Low-light image enhancement via

Low-light image enhancement techniques have significantly progressed, but unstable image quality recovery and unsatisfactory visual

Get Quote

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