Full-Reference Image Quality Assessment Based on an Optimal Linear Combination of Quality Measures Selected by Simulated Annealing by Domonkos Varga

“…Digital images can be distorted or contaminated by noise in various steps of image acquisition, transmission, and storage. …”
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No-Reference Image Quality Assessment Using the Statistics of Global and Local Image Features by Domonkos Varga

“…The ever-increasing number of digital images has encouraged the research in this field at an accelerated pace in recent decades. …”
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No-Reference Image Quality Assessment with Multi-Scale Orderless Pooling of Deep Features by Domonkos Varga

“…The goal of no-reference image quality assessment (NR-IQA) is to evaluate their perceptual quality of digital images without using the distortion-free, pristine counterparts. …”
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No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion by Domonkos Varga

“…No-reference image quality assessment (NR-IQA) has always been a difficult research problem because digital images may suffer very diverse types of distortions and their contents are extremely various. …”
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No-Reference Image Quality Assessment with Global Statistical Features by Domonkos Varga

“…The perceptual quality of digital images is often deteriorated during storage, compression, and transmission. …”
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Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic Images by Domonkos Varga

“…With the tremendous growth and usage of digital images, no-reference image quality assessment is becoming increasingly important. …”
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No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features by Domonkos Varga

“…With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. …”
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Full-Reference Image Quality Assessment Based on Grünwald–Letnikov Derivative, Image Gradients, and Visual Saliency by Domonkos Varga

“…The purpose of image quality assessment is to estimate digital images’ perceptual quality coherent with human judgement. …”
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Saliency-Guided Local Full-Reference Image Quality Assessment by Domonkos Varga

“…The intent of IQA methods is to estimate the perceptual quality of digital images correlating as high as possible with human judgements. …”
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