Results 31 to 40 of about 1,058,511 (183)

Deep No-Reference Tone Mapped Image Quality Assessment [PDF]

open access: yes2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
The process of rendering high dynamic range (HDR) images to be viewed on conventional displays is called tone mapping. However, tone mapping introduces distortions in the final image which may lead to visual displeasure. To quantify these distortions, we introduce a novel no-reference quality assessment technique for these tone mapped images.
Ravuri, Chandra Sekhar   +4 more
openaire   +2 more sources

No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Pansharpening refers to the process of enhancing the spatial resolution of a multispectral image with the help of a high spatial resolution panchromatic (PAN) image.
Neeraj Badal   +3 more
doaj   +1 more source

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

Continuous Wavelet Transform Based No-Reference Image Quality Assessment for Blur and Noise Distortions

open access: yesIEEE 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
doaj   +1 more source

Tensor Oriented No-Reference Light Field Image Quality Assessment [PDF]

open access: yesIEEE Transactions on Image Processing, 2020
Published on IEEE ...
Wei Zhou   +3 more
openaire   +3 more sources

No-reference image quality assessment through the von Mises distribution [PDF]

open access: yes, 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
core   +3 more sources

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

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

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

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