Results 51 to 60 of about 2,730 (217)
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
Global Advances in Hepatocellular Carcinoma Research and Therapy in 2025
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
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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 +10 more
wiley +1 more source
A Variational Model for Sea Image Enhancement
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
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 +14 more
wiley +1 more source
Low-light image enhancement based on improved Retinex-Net
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
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
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Research on image restoration algorithm of uneven illumination in coal mine based on HSV space
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
Color Consistency and Local Contrast Enhancement for a Mobile Image-Based Change Detection System
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
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

