Results 131 to 140 of about 48,579 (315)

Image Denoising Using Multi-ModelFusion Technique

open access: yesInternational Journal of Computing and Related Technologies
Image denoising is a fundamental challenge in the field of image processing, with the primary goal of recovering high-quality images from noisy counterparts.
Kamal Khan, Muhammad Anwar, Saifullah
doaj  

Inkonsistensi Antara Hasil Pengukuran SSIM Dengan Kondisi Visual Citra Hasil Metode Denoising Berbasis Ant Colony Optimization

open access: yesTechno.Com, 2017
Hasil denoising perlu dievaluasi untuk mengetahui nilai hasil secara terukur yang bertujuan untuk mendapatkan penilaian secara objektif. Seperti halnya teknik denoising, teknik evaluasi hasil citra juga dapat dilakukan baik pada domain spasial maupun ...
Septian Enggar Sukmana   +1 more
doaj  

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao   +10 more
wiley   +1 more source

Exploratory Analysis of Sustainable Consumption and Production Factors in Services: Insights From Four Case Studies Using Interpretive Structural Modeling

open access: yesSustainable Development, EarlyView.
ABSTRACT This study investigates how 14 sustainable consumption and production (SCP) factors interact across four service categories—Mass Service, Professional Service, Service Factory, and Service Shop—using interpretive structural modeling (ISM). ISM enables the identification and hierarchical classification of interdependencies among SCP factors in ...
Amanda Duarte Feitosa   +4 more
wiley   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu   +3 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü   +6 more
wiley   +1 more source

B-SSIM: Structural Similarity Index for Blurred Videos [PDF]

open access: bronze, 2012
José Ricardo Ferreira Cardoso   +2 more
openalex   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan   +14 more
wiley   +1 more source

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