Results 21 to 30 of about 838,201 (176)
Full Reference Image Quality Assessment by Considering Intra-Block Structure and Inter-Block Texture
The purpose of the image quality assessment is to evaluate image quality consistently with human's subjective evaluation. In image quality assessment, many structural features have been used to measure the quality degradation of an image.
Junfeng Yang +4 more
doaj +1 more source
Reduced reference image and video quality assessments: review of methods
With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Shahi Dost +5 more
doaj +1 more source
DeSa COVID-19: Deep salient COVID-19 image-based quality assessment
This study offers an advanced method to evaluate the coronavirus disease 2019 (COVID-19) image quality. The salient COVID-19 image map is incorporated with the deep convolutional neural network (DCNN), namely DeSa COVID-19, which exerts the n-convex ...
Risnandar
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Benchmarking Underwater Image Enhancement and Restoration, and Beyond
Image enhancement and restoration is among the most investigated topics in the field of underwater machine vision. The objective image quality assessment is a fundamental part of optimizing underwater enhancement and restoration technologies.
Guojia Hou +5 more
doaj +1 more source
A full-reference image quality assessment for multiply distorted image based on visual mutual information [PDF]
A full-reference image quality assessment (FR-IQA) method for multi-distortion based on visual mutual information (MD-IQA) is proposed to solve the problem that the existing FR-IQA methods are mostly applicable to single-distorted images, but the ...
Chatwin, Chris +6 more
core +1 more source
RVSIM: a feature similarity method for full-reference image quality assessment
Image quality assessment is an important topic in the field of digital image processing. In this study, a full-reference image quality assessment method called Riesz transform and Visual contrast sensitivity-based feature SIMilarity index (RVSIM) is ...
Guangyi Yang +4 more
doaj +1 more source
A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps
The goal of full-reference image quality assessment (FR-IQA) is to predict the perceptual quality of an image as perceived by human observers using its pristine (distortion free) reference counterpart. In this study, we explore a novel, combined approach
Domonkos Varga
doaj +1 more source
A Shift-Dependent Measure of Extended Cumulative Entropy and Its Applications in Blind Image Quality Assessment [PDF]
Recently, Tahmasebi and Eskandarzadeh introduced a new extended cumulative entropy (ECE). In this paper, we present results on shift-dependent measure of ECE and its dynamic past version.
Keshavarz, Ahmad +3 more
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Over the years image quality assessment is one of the active area of research in image processing. Distortion in images can be caused by various sources like noise, blur, transmission channel errors, compression artifacts etc. Image distortions can occur
Kanjar De, Masilamani V
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Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications.
Kinde Anlay Fante +2 more
doaj +1 more source

