Results 91 to 100 of about 31,180 (236)

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch   +4 more
wiley   +1 more source

GLCM and PSNR Analysis of Woven Fabric Images Made from Natural Dyes Due to Sunlight Exposure

open access: yesJOIV: International Journal on Informatics Visualization
Traditional woven fabrics generally use natural dyes that come from the local area. Natural dyes are often considered low quality if exposed to sunlight.
Patrisius Batarius   +2 more
doaj   +1 more source

VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou   +7 more
wiley   +1 more source

A New Approach of Image Denoising Based on Adaptive Multi-Resolution Technique

open access: yesNigerian Journal of Technological Development, 2022
Medical imaging and diagnostic techniques have become popular over the last two decades with the advancement of data science, data analysis, data storage, and the internet.
Lalit Mohan Satapathy, Pranati Das
doaj  

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

PSNR Improvement Using Different Prediction Coding

open access: yesTikrit Journal of Engineering Sciences, 2015
Differential Pulse Code Modulation (DPCM) is one of the predictive coding techniques. The number of previous pixels employed in the estimate operation is referred to as the order of the predictor. Predictor using one pixel for estimation is called “first
Khamies Khalaf Hasan
doaj  

DualSS: A Dual‐Diffusion Synthetic Sampling Framework for Screening Fatty Liver Severity With Class‐Imbalanced Tongue Images

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Fatty liver disease (FLD) is a prevalent chronic condition that can progress to clinically significant liver injury if left untreated. Given its high prevalence, FLD poses a substantial public health burden. Traditional Chinese medicine suggests that the appearance of tongue reflects hepatic and metabolic status, enabling artificial ...
Tao Chen   +6 more
wiley   +1 more source

Aligned-PSNR (APSNR) to improve accuracy of conventional PSNR for video stream over wireless and mobile network

open access: yes, 2013
Peak Signal-to-Noise Ratio (PSNR) is one of widely used method to measure video quality. This method is inherent with inaccuracy issue while applied to measure video quality that streamed over wireless and mobile network.
Abdul Rahman, Azizah   +2 more
core  

Comparison parameters PSNR, SSIM and VIF using dataset [39].

open access: yes, 2019
Comparison parameters PSNR, SSIM and VIF using dataset [39].
Tariq Bashir (127259)   +4 more
core   +1 more source

Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang   +5 more
wiley   +1 more source

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