Results 81 to 90 of about 842,884 (173)
Deviation Based Pooling Strategies For Full Reference Image Quality Assessment
The state-of-the-art pooling strategies for perceptual image quality assessment (IQA) are based on the mean and the weighted mean. They are robust pooling strategies which usually provide a moderate to high performance for different IQAs. Recently, standard deviation (SD) pooling was also proposed.
Nafchi, Hossein Ziaei +3 more
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Full Reference Image Quality Assessment using Siamese Neural Network
This study aims to explore the application of Siamese Neural Networks (SNN) in Full-Reference Image Quality Assessment (FR-IQA). The goal is to develop an efficient and accurate model to predict perceived image quality and correlate it with human scores. While deep learning has gained popularity in FR-IQA, the potential of Siamese Neural Networks still
openaire +1 more source
Full-Reference Image Quality Assessment Measure Based on Color Distortion
The purpose of this paper is to introduce a new method for image quality assessment (IQA). The method adopted here is assumed to be Full-reference measure. Color images that are corrupted with different kinds of distortions are assessed by applying a color distorted algorithm on each color component separately.
Seghir, Zianou, Hachouf, Fella
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising
Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details.
Rudy Gunawan +4 more
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No Reference Image Quality Assessment Based on DCT and SOM Clustering
The quality of images and videos is an important research topic due to their wide applications. The research should match the human subjective evaluation of quality.
Mohammadreza Zamani +1 more
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Perceptual Quality Assessment for Pansharpened Images Based on Deep Feature Similarity Measure
Pan-sharpening aims to generate high-resolution (HR) multispectral (MS) images by fusing HR panchromatic (PAN) and low-resolution (LR) MS images covering the same area.
Zhenhua Zhang +4 more
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Synthetic aperture radar (SAR) possesses significant advantages in automatic target recognition (ATR) due to its all-weather, day–night imaging capabilities. However, SAR-ATR faces complex challenges from inherent speckle noise and imaging-induced
Chengyu Wan +5 more
doaj +1 more source
Full-Reference Image Quality Assessment Approach Based on Image Separation [PDF]
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A Study of Why We Need to Reassess Full Reference Image Quality Assessment with Medical Images. [PDF]
Breger A +13 more
europepmc +1 more source
Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment
Perceptual image quality assessment (IQA) is one of the most indispensable yet challenging problems in image processing and computer vision. It is quite necessary to develop automatic and efficient approaches that can accurately predict perceptual image quality consistently with human subjective evaluation.
Manyu Jin +3 more
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