Results 11 to 20 of about 381,276 (268)
Underwater images usually suffer from colour distortion, blur, and low contrast, which hinder the subsequent processing of underwater information. To address these problems, this paper proposes a novel approach for single underwater images enhancement by
Zhenghao Shi +3 more
doaj +1 more source
Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review
As a critical preprocessing technique, low-illumination image enhancement has a wide range of practical applications. It aims to improve the visual perception of a given image captured without sufficient illumination.
Hao Tang +5 more
doaj +1 more source
Low‐light image enhancement for infrared and visible image fusion
Infrared and visible image fusion (IVIF) is an essential branch of image fusion, and enhancing the visible image of IVIF can significantly improve the fusion performance. However, many existing low‐light enhancement methods are unsuitable for the visible
Yiqiao Zhou +5 more
doaj +1 more source
An enhancement method for low light images in coal mines
Underground lighting in coal mines is limited. There is a large amount of dust and mist, resulting in low contrast, uneven lighting, weak detail information, and a large amount of noise in the collected images.
KONG Erwei +3 more
doaj +1 more source
Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
doaj +1 more source
High-Brightness Image Enhancement Algorithm
In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information.
Yifei Wei +3 more
doaj +1 more source
Controllable Image Enhancement
Editing flat-looking images into stunning photographs requires skill and time. Automated image enhancement algorithms have attracted increased interest by generating high-quality images without user interaction. However, the quality assessment of a photograph is subjective.
Heewon Kim, Kyoung Mu Lee
openaire +2 more sources
To our knowledge, few studies have attempted to explore the social perception of targets engaged in performance enhancement and body modification, and none has done so through a systematic review and meta-analysis.
Hailemariam Weldemariam +5 more
doaj +1 more source
Non-linear Low-Light Image Enhancement Based on Fusion Color Model Space
Lowlight images have problems such as low overall brightness of the image, uneven brightness, high color saturation, and image blur. To address these problems, a lowlight image enhancement algorithm fusing color model space is proposed, in which the ...
LIU Shou-Xin +3 more
doaj
This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing minimum distance estimation between multi-arm manipulators and the associated collision-aware warning ...
Sarvin Ghiasi +4 more
doaj +1 more source

