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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Convergence Results in Image Interpolation With the Continuous SSIM [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francesco Marchetti, Gabriele Santin
openaire +3 more sources
IV-SSIM—The Structural Similarity Metric for Immersive Video
In this paper, we present a new objective quality metric designed for immersive video applications—IV-SSIM. The proposed IV-SSIM metric is an evolution of our previous work—IV-PSNR (immersive video peak signal-to-noise ratio)—which became a commonly used
Adrian Dziembowski +2 more
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Improved BM3D image denoising using SSIM-optimized Wiener filter
Image denoising is considered a salient pre-processing step in sophisticated imaging applications. Over the decades, numerous studies have been conducted in denoising.
Mahmud Hasan, Mahmoud R. El-Sakka
doaj +2 more sources
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
doaj +1 more source
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
doaj +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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

