most citedMulti-pooled Inception features for no-reference image quality assessment

37 citations · 41 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV202037 cited

Multi-pooled Inception features for no-reference image quality assessment

Domonkos Varga

Image quality assessment (IQA) is an important element of a broad spectrum of applications ranging from automatic video streaming to display technology. Furthermore, the measuremen…

eess.IV20202 cited

Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database

Domonkos Varga

The main goal of objective image quality assessment is to devise computational, mathematical models which are able to predict perceptual image quality consistently with subjective…

eess.IV2020

Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions

Domonkos Varga

Objective image quality assessment deals with the prediction of digital images' perceptual quality. No-reference image quality assessment predicts the quality of a given input imag…

cs.CV2020

A combined full-reference image quality assessment approach based on convolutional activation maps

Domonkos Varga

The goal of full-reference image quality assessment (FR-IQA) is to predict the quality of an image as perceived by human observers with using its pristine, reference counterpart. I…

eess.IV2019

Empirical evaluation of full-reference image quality metrics on MDID database

Domonkos Varga

In this study, our goal is to give a comprehensive evaluation of 32 state-of-the-art FR-IQA metrics using the recently published MDID. This database contains distorted images deriv…

eess.IV20192 cited

A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k

Domonkos Varga

Significant progress has been made in the past decade for full-reference image quality assessment (FR-IQA). However, new large scale image quality databases have been released for…