Results 41 to 50 of about 6,596,130 (203)
Cervical Precancerous Lesion Image Enhancement Based on Retinex and Histogram Equalization
Cervical cancer is a prevalent chronic malignant tumor in gynecology, necessitating high-quality images of cervical precancerous lesions to enhance detection rates.
Yuan Ren, Zhengping Li, Chao Xu
doaj +1 more source
Investigations into Picture Defogging Techniques Based on Dark Channel Prior and Retinex Theory
To address the concerns of contrast deterioration, detail loss, and color distortion in images produced under haze conditions in scenarios such as intelligent driving and remote sensing detection, an algorithm for image defogging that combines Retinex ...
Lihong Yang +5 more
semanticscholar +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
ABSTRACT Oil–pressboard system is the main insulation form of oil‐immersed transformers, which is prone to partial discharge (PD) and subsequent faults due to contamination or moisture ingress. To investigate the evolutionary characteristics of PD streamers under varying voltages and insulation dimensions, streamer images were captured using a high ...
Luyao Liu +5 more
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Exposure Fusion for Dynamic Scenes Combining Retinex Theory and Low-Rank Matrix Completion
Exposure fusion (EF) directly generates a low dynamic range (LDR) image with similar image quality to the high dynamic range (HDR) image by combining images of different exposures to overcome the limited dynamic range of common digital cameras.
Mali Yu, Hai Zhang, Hongyan Wan
doaj +1 more source
In a low-illumination environment, the contrast between lane lines and the ground is relatively low. Traditional image enhancement algorithms, such as gamma correction, Histogram Equalization, and multiple-scale Retinex, may result in over enhancement ...
Hui Ma, Wenhao Lv, Yu Li, Yilun Liu
doaj +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
A Stronger Aadaptive Local Dimming Method with Details Preservation
Local dimming technology focuses on improving the contrast ratio of the displayed images for a great visual perception. It consists of backlight extraction and pixel compensation.
Tao Zhang +4 more
doaj +1 more source
Low-Light Image Enhancement Based on Retinex Theory and Attention Mechanism
. With the popularity of mobile devices and surveillance cameras, image enhancement under low-light conditions has become an crucial research direction in computer vision.
L. Jiao, Fang-Lue Zhang
semanticscholar +1 more source

