Results 61 to 70 of about 12,815 (208)
Advanced Intelligent Systems, EarlyView.This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng +6 more
wiley +1 more source
Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Advanced 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
High Capacity Audio Steganography Based on Contourlet Transform
Tikrit Journal of Engineering Sciences, 2022 The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file.
Abbas Salman Hameed
doaj
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim +2 more
wiley +1 more source
Genetic algorithm for fragile audio watermarking
, 2015 A novel genetic-concept-based algorithm is proposed for fragile audio watermarking to reduce the distortion of least significant bits substitution and consequently improve the peak signal-to-noise ratio (PSNR) and increase the payload of results.
Abdul Manaf, Azizah, Zamani, Mazdak
core +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Remote 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
Road Marker Classification Mechanism Using Deep Learning Analysis in Foggy Condition
, 2023 This study introduces an innovative ResNet-based dehazing algorithm tailored for road images, crucial for the performance of Advanced Driver Assistance Systems (ADAS) in challenging atmospheric conditions like fog, haze, and smog.
Md Sani, Zamani +3 more
core
Image Watermarking – Hybrid Approach for Embedding Binary Watermark into the Digital Image
, 2020 This paper illustrates a unique approach for embedding binary image watermarks into the digital images. or the purpose of watermarking; we made use of three most influential transforms in the field of image processing i.e. Discrete Cosine Transform (DCT),
Ashish M. Kothari +2 more
core +1 more source
Applied SciencesThis study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations.
Yucheng Li +4 more
doaj +1 more source