Results 71 to 80 of about 3,371 (176)
Point-based Spatial Color Sampling in Milano-Retinex : a Survey
, 2018 Milano-Retinex is a family of Retinex-inspired spatial colour algorithms mainly developed for colour image enhancement. According to the Retinex theory, a Milano-Retinex algorithm takes as input an RGB image and processes the colour intensities of each ...
Michela Lecca +11 more
core +1 more source
Dual‐Path Wavelet Transform Image Exposure Correction Algorithm
IET 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
Retinex theory for color image enhancement: A systematic review [PDF]
, 2019 A short but comprehensive review of Retinex has been presented in this paper. Retinex theory aims to explain human color perception. In addition, its derivation on modifying the reflectance components has introduced effective approaches for images ...
Sabri, Rooa Adnan +5 more
core +1 more source
Use of GIMP Retinex filter to enhance the visibility of craquelure [PDF]
, 2020 This is the fifth work of a series which is showing applications of Retinex filters. In the first paper, we considered the images from microscopes. In the second, we discussed how a Retinex filtering can help us in the investigation of motion of sand ...
Sparavigna, Amelia Carolina +1 more
core +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.In this paper, we introduce a novel image dehazing algorithm based on dual‐channel prior adaptive contrast‐limited enhancement. The algorithm estimates model parameters from different perspectives based on dual‐channel prior knowledge and fuses the parameters according to the characteristics of each channel.
Chang Su +4 more
wiley +1 more source
Color Consistency and Local Contrast Enhancement for a Mobile Image-Based Change Detection System
Journal of Imaging, 2017 Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor.
Marco Tektonidis, David Monnin
doaj +1 more source
Applying Retinex Filters to Microscopic Images [PDF]
, 2019 We will discuss, in a series of papers, the several applications that Retinex filters can have for enhancing images. Applications are ranging from the images obtained by microscopes to the images coming from satellites.
Sparavigna, Amelia Carolina +1 more
core +1 more source
Pre‐Trained Codebook‐Based Enhancement: A Novel Approach for Clarifying Underwater Images
IET Image Processing, Volume 20, Issue 1, January/December 2026.This work presents a codebook‐driven enhancement network to tackle colour distortion and detail loss in underwater images. By aligning multi‐scale features with a pre‐trained VQGAN codebook and fusing shallow‐to‐deep cues, the method boosts contrast, edges and clarity without requiring large paired datasets.
Yuanxue Xin +4 more
wiley +1 more source
, 2017 Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions.
Michela Lecca +7 more
core +1 more source
YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes a YOLO‐O model, based on YOLOv7, for improved detection of tiny vehicles on roads. Enhancements like residual networks, Squeeze and Excitation Network (SENet), coordinate attention, and SIoU regression loss boost precision, especially for small objects.
Rabbia Mahum +4 more
wiley +1 more source