Results 21 to 30 of about 1,054,642 (283)
No-Reference Light Field Image Quality Assessment Based on Feature Optimization [PDF]
Jisuanji 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
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IEEE Access, 2018 This paper proposes a no-reference quality assessment technique to assess the quality of images that is degraded due to blur and noise. The technique is motivated from the fact that when distortion occurs in a natural image, its naturalness gets ...
Piyush Joshi, Surya Prakash
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Tensor Oriented No-Reference Light Field Image Quality Assessment [PDF]
IEEE Transactions on Image Processing, 2020 Published on IEEE ...
Wei Zhou +3 more
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No-reference image quality assessment through the von Mises distribution [PDF]
, 2012 An innovative way of calculating the von Mises distribution (VMD) of image entropy is introduced in this paper. The VMD's concentration parameter and some fitness parameter that will be later defined, have been analyzed in the experimental part for ...
Ciocca +19 more
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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
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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
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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
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No-reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics [PDF]
, 2016 We present two contributions in this work: (i) a bivariate generalized Gaussian distribution (BGGD) model for the joint distribution of luminance and disparity subband coefficients of natural stereoscopic scenes and (ii) a no-reference (NR) stereo image ...
Appina, B +2 more
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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
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No-Reference Image Quality Assessment by Hallucinating Pristine Features
IEEE Transactions on Image Processing, 2022 In this paper, we propose a no-reference (NR) image quality assessment (IQA) method via feature level pseudo-reference (PR) hallucination. The proposed quality assessment framework is grounded on the prior models of natural image statistical behaviors and rooted in the view that the perceptually meaningful features could be well exploited to ...
Baoliang Chen +5 more
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