Results 61 to 70 of about 2,348 (159)

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
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, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

A coal mine underground image enhancement method based on multi-scale gradient domain guided image filtering

Gong-kuang zidonghua
There are serious issues with uneven lighting and noise interference in coal mine underground images. The existing Retinex based methods are directly applied to enhance coal mine underground images, which are prone to problems such as halo artifacts ...
MU Qi, GE Xiangfu, WANG Xinyue, LI Lei, LI Zhanli   +4 more
doaj   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
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, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Multispectral Demosaicking Using Bilinear Decomposition With Multichannel Structural Regularization

IEEE Access
In this paper, a multispectral demosaicking algorithm that builds upon bilinear decomposition of a color image is proposed. The proposed algorithm can be summarized into three parts, where the first part constructs a graph-based measure that confines the
Sanghoon Kim, Jinook Lee, Moon Gi Kang
doaj   +1 more source

Control parameters for retinex [PDF]

SPIE Proceedings, 2002
The recently published Matlab implementation of the retinex algorithm has free parameters for the user to specify. The parameters include the number of iterations to perform at each spatial scale, the viewing angle, image resolution, and the lookup table function (post-lut) to be applied upon completion of the main retinex computation. These parameters
Brian V. Funt, Florian Ciurea
openaire   +1 more source

Global Advances in Hepatocellular Carcinoma Research and Therapy in 2025

Cancer Innovation, Volume 5, Issue 2, April 2026.
This review summarizes key breakthrough advances in hepatocellular carcinoma (HCC) reported in 2025 and presents a multidisciplinary management framework for HCC, integrating early diagnosis, microenvironment insights, and comprehensive therapeutic strategies spanning minimally invasive surgery, locoregional interventions, and systemic pharmacotherapy.
Bo Hu, Qiang Gao
wiley   +1 more source

Toward Robust and Efficient Low-Light Image Enhancement: Progressive Attentive Retinex Architecture Search

Tsinghua Science and Technology, 2023
In recent years, learning-based low-light image enhancement methods have shown excellent performance, but the heuristic design adopted by most methods requires high engineering skills for developers, causing expensive inference costs that are unfriendly ...
Xiaoke Shang, Nan An, Shaomin Zhang, Nai Ding   +3 more
doaj   +1 more source

Assessing the effectiveness of texture and color enhancement imaging versus white‐light endoscopy in detecting gastrointestinal lesions: A systematic review and meta‐analysis

DEN Open, Volume 6, Issue 1, April 2026.
Abstract Introduction Gastrointestinal cancers account for 26% of cancer incidence and 35% of cancer‐related deaths globally. Early detection is crucial but often limited by white light endoscopy (WLE), which misses subtle lesions. Texture and color enhancement imaging (TXI), introduced in 2020, enhances texture, brightness, and color, addressing WLE's
Muhammad Shahzil, Talha Bin Kashif, Zainab Jamil, Muhammad Ali Khaqan, Luqman Munir, Zunaira Amjad, Muhammad Saad Faisal, Ammad Javaid Chaudhary, Hassam Ali, Shahryar Khan, Ikponmwosa Enofe   +10 more
wiley   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 272-290, February 2026.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot   +14 more
wiley   +1 more source

From samples to populations in retinex models [PDF]

, 2017
Some spatial color algorithms, such as Brownian Milano retinex (MI-retinex) and random spray retinex (RSR), are based on sampling. In Brownian MI-retinex, memoryless random walks (MRWs) explore the neighborhood of a pixel and are then used to compute its
Gabriele Gianini, G. Gianini
core   +1 more source