Results 1 to 10 of about 390,428 (166)

Visual guided AI color art image generation using enhanced GAN [PDF]

open access: yesScientific Reports
With the improvement of material living standards, the application of Artificial Intelligence technology for generating color art images effectively meets the growing spiritual needs of people. However, traditional manual drawing methods rely on artistic
Zhuojin Wu
doaj   +2 more sources

Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure

open access: yesApplied Sciences
This 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   +2 more sources

Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2022
Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image.
Surinder Kaur   +7 more
doaj   +1 more source

SOM-based similarity index measure: quantifying interactions between multivariate structures [PDF]

open access: yes2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), 2003
This work addresses the issue of quantifying asymmetric functional relationships between signals. We specifically consider a previously proposed similarity index that is conceptually powerful, yet computationally very expensive. The complexity increases with the square of the number of samples in the signals. In order to counter this difficulty, a self-
A. Hegde   +4 more
openaire   +1 more source

Synthetic Infra-Red Image Evaluation Methods by Structural Similarity Index Measures

open access: yesElectronics, 2022
For synthetic infra-red (IR) image generation, a new approach using CycleGAN based on the structural similarity index measure (SSIM) is addressed. In this study, how window sizes and weight parameters of SSIM would affect the synthetic IR image constructed by CycleGAN is analyzed.
Sky H. Lee, Henzeh Leeghim
openaire   +1 more source

SPAM (Smart Patient Monitoring System) using Structural Similarity Index Measurement

open access: yesIndonesian Journal of Information Systems, 2023
Abstract. The number of patients in Hospital during pandemic covid-19 has increasing significantly which cause do not get the optimal service because limitation of human resource. Furthermore, they need tools to detect human in patient’s room and monitor the movement of people. IoT capable to control the room properly.
Aisyatul Karima   +6 more
openaire   +1 more source

Optimal structural similarity constraint for reversible data hiding

open access: yes网络与信息安全学报, 2016
Most reversible data hiding (RDH) techniques have been evaluated by PSNR,which is based on MSE.Unfortunately,MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidel-ity or quality.The structural similarity ...
Jia-jia XU   +4 more
doaj   +3 more sources

Efficient Reconstruction of Low Photon Count Images from a High Speed Camera

open access: yesPhotonics, 2022
Challenging imaging applications requiring ultra-short exposure times or imaging in photon-starved environments can acquire extremely low numbers of photons per pixel, (1 MHz) and low incident photon flux (
Graeme E. Johnstone   +3 more
doaj   +1 more source

Multiple Inverted Array Index Structure for Asymmetric Similarity Measure [PDF]

open access: yesElectronic Workshops in Computing, 1998
Due to the growing volume of digital image data in recent years, the demand and necessity for a system that can manage large image sets are rising. It is vital to create sophisticated retrieval functions in order to enhance the user's convenience.
Noburou Taniguchi   +2 more
openaire   +1 more source

FenceTalk: Exploring False Negatives in Moving Object Detection

open access: yesAlgorithms, 2023
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in ...
Yun-Wei Lin   +3 more
doaj   +1 more source

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