Results 31 to 40 of about 230,825 (293)
Image quality assessment based on harmonics gain/loss information [PDF]
, 2005 We present an objective reduced-reference image quality assessment method based on harmonic gain/loss information through a discriminative analysis of local harmonic strength (LHS).
Gunawan, I.P. +3 more
core +1 more source
Multi-Pooled Inception Features for No-Reference Image Quality Assessment
Applied 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 based on multiscale feature representation
IET 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 Image Quality Assessment Model Based on Generated Perceptual Difference [PDF]
Jisuanji 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
Applied 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
Effective Features for No-Reference Image Quality Assessment on Mobile Devices [PDF]
, 2022 The goal of this thesis is the analysis and development of a no-reference image quality assessment algorithm. Algorithms of this kind are increasingly employed in multimedia applications with the aim of delivering higher quality of service.
Brazzo, Simone
core
Shearlet-based reduced reference image quality assessment
, 2022 S.2052-2056This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location ...
Bosse, S. +4 more
core +1 more source
No-reference color image quality assessment: from entropy to perceptual quality
EURASIP 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
, 2021 Hyperspectral (HS) imaging is a novel technique that allows for better understanding of materials, being an improvement in multiple applications. However, one of its main drawbacks is the focus assessment.
Gustavo M. Callico +7 more
core +1 more source
Reduced reference image and video quality assessments : review of methods [PDF]
, 2022 With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Dost, Shahi +11 more
core +1 more source