Results 31 to 40 of about 13,371,751 (387)
Detection of Stomach Cancer by TV-Endoscope Colour Enhancement Image Processing [PDF]
Using modern TV-endoscope equipment, we have experimented image processing in several ways. This time, we designed new image processing unit called “Color Subtracted Enhancement image processing unit”.
Masaki Miyamoto
core +2 more sources
Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement [PDF]
Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness. It can also be seen as an illposed problem in image restoration domain.
Chi-Mao Fan+2 more
semanticscholar +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
Image resolution enhancement using dual-tree complex wavelet transform [PDF]
In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution
Tjahjadi, Tardi, Çelik, Turgay
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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
Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets [PDF]
In this paper, we address the hesitant information in enhancement task often caused by differences in image contrast. Enhancement approaches generally use certain filters which generate artifacts or are unable to recover all the objects details in images.
Bhattacharyya, Siddhartha+3 more
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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
Fast Underwater Image Enhancement for Improved Visual Perception [PDF]
In this letter, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on
M. Islam, Youya Xia, Junaed Sattar
semanticscholar +1 more source