Results 11 to 20 of about 47,227 (224)
SSIM-based sparse image restoration
In this paper, we provide a sparse image restoration algorithm with a SSIM-based objective function. The proposed technique is a modification to the SSIM-inspired OMP (iOMP) and, and it has two parallel sparse restoration paths.
A.N. Omara +3 more
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Using artificial intelligence for predictive eye-tracking analysis to evaluate photographs [PDF]
The goal of the study was to determine how close the eye-tracking results predicted by the AI model are to actual measurements and whether they can be used in scientific research or in real business cases.
Jure Ahtik
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SSIM-Based Autoencoder Modeling to Defeat Adversarial Patch Attacks
Object detection systems are used in various fields such as autonomous vehicles and facial recognition. In particular, object detection using deep learning networks enables real-time processing in low-performance edge devices and can maintain high ...
Seungyeol Lee +3 more
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Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication [PDF]
The most important aspects of image processing are image enhancement. The visual form of an image can be enhanced by using image enhancement techniques for better human interpretation.
Sapna Sharma +2 more
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MODELLING FRAMEWORK FOR CRITICAL SUCCESS FACTORS OF GREEN SUPPLY CHAIN MANAGEMENT-AN INTEGRATED APPROACH OF PARETO, ISM AND SEM [PDF]
The study aimed in identifying Green supply chain critical success factors, develop and validate the framework through integrated approach of ISM, MICMAC and SEM so as to promote green practices throughout the supply chain activities in Indian ...
Vanishree Beloor +2 more
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A COMPARATIVE FRAMEWORK FOR BLOCKING ARTIFACTS REMOVAL OF DIGITAL IMAGES USING HYBRID MECHANISM
The restoration of an image with blocking artifacts due to compression at low bit rates is a challenging task and blocking artifact measurement algorithms have an important role to play in the computer vision field.
Manu Prakram +2 more
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Implementasi Deep Convolutional Generative Adversarial Network untuk Pewarnaan Citra Grayscale
Proses menambahkan warna pada citra grayscale diperlukan agar perbaikan pada citra dapat dilakukan secara cepat dan tanpa pengetahuan khusus. Pewarnaan citra menggunakan metode Deep Convolutional Generative Adversarial Network (DCGAN) dan metode ...
Muhammad Ricky, Muhammad Ezar Al Rivan
doaj +1 more source
THE UTILIZATION OF EEG SIGNAL IN VIDEO COMPRESSION [PDF]
Due to technology advances in multimedia, larger storage spaces, large internet bandwidth and high-transmission speed are required for the transmission of videos.
Qasem Qananwah +4 more
doaj +1 more source
Many different filters can be used to reduce multiplicative speckle noise on radar images. Most of these filters have some parameters whose values influence the result of filtering. Finding optimal values of such parameters may be a non-trivial task.
V. Pavlov +3 more
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Reduced-reference SSIM estimation [PDF]
The structural similarity (SSIM) index has been shown to be a good perceptual image quality predictor. In many real-world applications such as network visual communications, however, SSIM is not applicable because its computation requires full access to the original image.
Abdul Rehman, Zhou Wang
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