Results 21 to 30 of about 242,437 (257)

No-Reference Light Field Image Quality Assessment Based on Feature Optimization [PDF]

open access: yesJisuanji gongcheng, 2023
Light Field Image(LFI) is receiving widespread attention from academia and industry owing to its ability to capture directional information from light.However, LFI oftens experiences varying degrees of distortion during compression and reconstruction ...
Zhengmei XU, Huaming LIU, Xuehui BI, Ya WANG
doaj   +1 more source

Multi-Pooled Inception Features for No-Reference Image Quality Assessment

open access: yesApplied Sciences, 2020
Image quality assessment (IQA) is an important element of a broad spectrum of applications ranging from automatic video streaming to display technology. Furthermore, the measurement of image quality requires a balanced investigation of image content and ...
Domonkos Varga
doaj   +1 more source

No-Reference Image Quality Assessment Model Based on Generated Perceptual Difference [PDF]

open access: yesJisuanji gongcheng, 2021
The visual perception difference in the Human Visual System(HVS) is key to image quality evaluation.By sensing the visual difference between the distorted image and the reference image,the distortion degree of the image can be judged.However,this method ...
LIU Hai, YANG Huan, PAN Zhenkuan, HUANG Baoxiang, HOU Guojia
doaj   +1 more source

Two Low-Level Feature Distributions Based No Reference Image Quality Assessment

open access: yesApplied Sciences, 2022
No reference image quality assessment (NR IQA) aims to develop quantitative measures to automatically and accurately estimate perceptual image quality without any prior information about the reference image.
Hao Fu   +4 more
doaj   +1 more source

No‐reference image quality assessment based on multiscale feature representation

open access: yesIET Image Processing, 2021
The no‐reference image quality assessment (NR‐IQA) method can evaluate the distortions in an image without the reference image. However, due to the diversity of the image contents and distortion types, it is hard for the existing NR‐IQA algorithms to ...
Junhui Li   +3 more
doaj   +1 more source

No-reference color image quality assessment: from entropy to perceptual quality

open access: yesEURASIP Journal on Image and Video Processing, 2019
This paper presents a high-performance general-purpose no-reference (NR) image quality assessment (IQA) method based on image entropy. The image features are extracted from two domains.
Xiaoqiao Chen   +4 more
doaj   +1 more source

Hybrid No-Reference Quality Assessment for Surveillance Images

open access: yesInformation, 2022
Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system extracting valid information from SIs.
Ye, Zhongchang, Ye, Xin, Zhao, Zhonghua
openaire   +2 more sources

No Reference Image Quality Assessment Based on DCT and SOM Clustering

open access: yesIEEE Access
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
doaj   +1 more source

No-reference Image Denoising Quality Assessment [PDF]

open access: yes, 2019
17 pages, 41 figures, accepted by Computer Vision Conference (CVC ...
openaire   +4 more sources

Benchmarking Underwater Image Enhancement and Restoration, and Beyond

open access: yesIEEE Access, 2020
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

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