Results 81 to 90 of about 5,381,311 (203)

A mine image enhancement method based on structural texture decomposition

open access: yesGong-kuang zidonghua
There is a phenomenon of low lighting and excessive dust in underground mines, which leads to uneven lighting, blurriness, and loss of details in the images captured by monitoring videos. It affects subsequent intelligent image recognition. Existing mine
ZHANG Hong, SUO Tingfeng, SONG Wanying
doaj   +1 more source

Machine Learning Classifier–Based Breast Thermography Enhancement Using Adaptive Multiaverage Gamma Correction for Breast Cancer Diagnosis

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Detecting breast cancer has always been a challenging task in medicinal field. Among various screening techniques, breast thermography proves to be a reliable technique. Though it aids in the diagnosis of tumors, its low color contrast between diseased and normal tissues makes it difficult to identify subtle image features and detect cancer in thick ...
Teresa Matoso Manguangua Victor   +6 more
wiley   +1 more source

Retinex theory-based shadow detection and removal in single outdoor image

open access: yes, 2009
Shadows, the common phenomena in most outdoor scenes, bring many problems in practical image processing. Shadow detection and removal, especial in uncalibrated outdoor image, is still a difficult problem.
Tian JD(田建东)   +3 more
core  

Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform

open access: yesJournal of King Saud University: Computer and Information Sciences
Image quality in low-light environments is typically poor, characterized by low contrast, reduced visibility, and sensor noise. These issues not only impair human visual perception but also pose significant challenges for computer vision tasks.
Yuqian Zhang   +6 more
doaj   +1 more source

RECAD: Retinex-Based Efficient Channel Attention with Dark Area Detection for Underwater Images Enhancement

open access: yesJournal of Marine Science and Engineering
Focusing on visual target detection for Autonomous Underwater Vehicles (AUVs), this paper investigates enhancement methods for weakly illuminated underwater images, which typically suffer from blurring, color distortion, and non-uniform illumination ...
Tianchi Zhang   +3 more
doaj   +1 more source

A Retinex Inspired Bilateral Filter for Enhancing Images under Difficult Light Conditions

open access: yes, 2021
This paper presents SuPeR-B, a novel, Retinex inspired color spatial algorithm to enhance images acquired under difficult light conditions, such as pictures containing dark and bright regions caused by backlight and/or local, not diffused spotlight ...
Michela Lecca
core   +1 more source

Illumination compensation for face image using retinex method based on bilateral filtering

open access: yes, 2010
Illumination variation is one of the critical factors affecting face recognition rate. In the paper, we propose a novel Retinex method based on bilateral filtering to compensate the illumination for face image.
Yang DW(杨大为), Tang YD(唐延东)
core  

Point-based Spatial Color Sampling in Milano-Retinex : a Survey

open access: yes, 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

Retinex-Net mine image enhancement algorithm based on adaptive illumination estimation

open access: yesMeitan kexue jishu
The gradual progress of coal mine intelligent construction has led to an increased use of intelligent video surveillance systems in underground coal mines.
Feng TIAN, Tingting CHEN, Xiaopei LIU
doaj   +1 more source

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