Results 91 to 100 of about 10,267 (252)

Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation

open access: yesAdvanced Intelligent Systems, EarlyView.
 Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang   +5 more
wiley   +1 more source

A Generalized and Parallelized SSIM-Based Multilevel Thresholding Algorithm

open access: yesApplied Artificial Intelligence, 2019
Multilevel thresholding is a widely used technique to perform image segmentation. It consists of dividing an input image into several distinct regions by finding the optimal thresholds according to a certain objective function.
Ikram Boubechal   +2 more
doaj   +1 more source

Critical Success Factors for Enhancing the Circular Economy Performance of Last‐Mile Cold Chain Logistics Packaging for Urban Agricultural Products

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive
Miao Su   +3 more
wiley   +1 more source

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

open access: yesInfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu   +9 more
wiley   +1 more source

Уточнение индекса SSIM структурного сходства изображений

open access: yes, 2018
Properties of a popular measure of comparing a digital image with a reference – the index of structural    similarity, called SSIM in the literature – are explored. It is proved that the SSIM and its derivative functions are not metrics.
В. В. Старовойтов   +1 more
core  

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

open access: yesInterdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu   +20 more
wiley   +1 more source

Design of a hybrid measure for image similarity: a statistical, algebraic, and information-theoretic approach

open access: yesEuropean Journal of Remote Sensing, 2019
Image similarity or distortion assessment is fundamental to a wide range of applications throughout the field of image processing and computer vision. Many image similarity measures have been proposed to treat specific types of image distortions. Most of
Mohammed Abdulameer Aljanabi   +3 more
doaj   +1 more source

Comparison of SSIM with H.265/HEVC standard.

open access: yes, 2016
Comparison of SSIM with H.265/HEVC standard.
Yuan Gao (159945)   +3 more
core   +1 more source

AI‐Powered Gradient Echo Plural Contrast Imaging (AI‐GEPCI)—A Comprehensive Neurological Protocol From a Single MRI Scan

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MRI is essential for diagnosing and monitoring neurological diseases. Conventional protocols require multiple sequences to obtain complementary contrasts, increasing scan time, cost, and tolerability. Generating multiple contrasts from a single acquisition may streamline workflow while maintaining clinical utility.
Jeramy Lewis   +8 more
wiley   +1 more source

Multi-scale structural similarity index for motion detection

open access: yesJournal of King Saud University: Computer and Information Sciences, 2017
The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos.
M. Abdel-Salam Nasr   +2 more
doaj   +1 more source

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