Results 21 to 30 of about 222,730 (255)
No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity
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
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No-Reference Light Field Image Quality Assessment Based on Feature Optimization [PDF]
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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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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Multi-Pooled Inception Features for No-Reference Image Quality Assessment
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 based on multiscale feature representation
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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No-Reference Image Quality Assessment Model Based on Generated Perceptual Difference [PDF]
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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Two Low-Level Feature Distributions Based No Reference Image Quality Assessment
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 color image quality assessment: from entropy to perceptual quality
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
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No Reference Image Quality Assessment Based on DCT and SOM Clustering
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]
17 pages, 41 figures, accepted by Computer Vision Conference (CVC ...
openaire +2 more sources

