Results 71 to 80 of about 2,348 (159)

Low-light image enhancement based on improved Retinex-Net

open access: yesXi'an Gongcheng Daxue xuebao, 2022
In order to solve the problem of high noise and insufficient feature extraction of Retinex-Net in low-light image enhancement processing, this paper proposes a new network structure. First, the Retinex-Net network was used as the basic model to decompose
WANG Yannian   +3 more
doaj   +1 more source

Properly Speaking, Sir Isaac Newton Was the First Perceptual Psychologist and, Therefore, the First Psychologist

open access: yesColor Research &Application, Volume 51, Issue 1, January/February 2026.
Newton’s insight that “the rays are not colored” anticipated a constructivist view of perception in which physical stimuli provide input but perceptual qualities arise from neural processing. Framed by Newton’s view, early sensory psychology and modern neuroscience converged on the conclusion that color is an internally generated percept, shaped by ...
Billy R. Wooten, Billy R. Hammond
wiley   +1 more source

Spatial color algorithms: Milano retinex and NASA retinex

open access: yes, 2014
The Retinex theory of Edwin Land proposed a model of human color vision based on color perception experiments. The original Retinex algorithm, by Land and McCann, is capable of performing color correction and contrast enhancement of images, with some ...
A. Rizzi
core   +2 more sources

A Variational Model for Sea Image Enhancement

open access: yesRemote Sensing, 2018
The purpose of sea image enhancement is to enhance the information of the waves, whose contrast is generally weak. Enhancement effect is often affected by impulse-type noise and non-uniform illumination.
Mingzhu Song   +4 more
doaj   +1 more source

Research on Tunnel Pedestrian Detection Algorithm Based on Image Enhancement and Threshold Segmentation

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a low‐light image enhancement and denoising algorithm tailored for tunnel scenes based on computer vision and deep learning technologies. On this basis, a tunnel pedestrian detection method based on connected domain dynamic threshold segmentation is designed, which can reduce the computational resources for identifying pedestrian ...
Yudan Tian   +4 more
wiley   +1 more source

Research on image restoration algorithm of uneven illumination in coal mine based on HSV space

open access: yesMeitan kexue jishu
To accommodate the needs of intelligent construction in coal mines, a large number of digital image acquisition devices have gradually been deployed underground, playing an important role in the safe and efficient production of coal mine.
Sheng LEI   +3 more
doaj   +1 more source

Wavelet Quadtree Contrast Limited Adaptive Histogram Equalisation Tablet Enhancement Method for Defect Detection in Low‐Contrast Tablets

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel image enhancement method, WCTE, which integrates Haar wavelet transform and adaptive CLAHE to improve the visibility of low‐contrast tablet images. Combined with the YOLOv11 model, this approach significantly boosts defect detection accuracy, especially for half‐grain and paste tabtal.
Zimei Tu   +3 more
wiley   +1 more source

A Proposed Algorithm for Retinex Computation in Image Enhancement Applications

open access: yesJournal of Engineering and Sustainable Development, 2007
The Retinex is an image enhancement algorithm that improves the brightness, contrast and sharpness of an image. The core of Retinex computation is clearly specified in recent Matlab implementations.
Saad Mohammed Saleh   +2 more
doaj  

Optimisation of Convolution-Based Image Lightness Processing

open access: yesJournal of Imaging
In the convolutional retinex approach to image lightness processing, an image is filtered by a centre/surround operator that is designed to mitigate the effects of shading (illumination gradients), which in turn compresses the dynamic range.
D. Andrew Rowlands, Graham D. Finlayson
doaj   +1 more source

Dual‐Path Wavelet Transform Image Exposure Correction Algorithm

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an image exposure correction method, combining wavelet transforms and deep learning. It uses a dual‐path approach: luminance‐related low‐frequency components are corrected by an exposure correction network, while texture‐detail high‐frequency components are enhanced by a residual network.
Kaicheng Xu   +3 more
wiley   +1 more source

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