An efficient approach for no-reference image quality assessment based on statistical texture and structural features

An efficient approach for no-reference image quality assessment based on statistical texture and structural features

This paper presents a rotation-invariant and computationally efficient no-reference image quality assessment (NR-IQA) model. It estimates the image quality based on texture and structural information associated with the images. The human visual system (HVS) uses perceptual features such as texture a...

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Bibliographic Details
Main Authors: J. Rajevenceltha, Vilas H. Gaidhane
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Engineering Science and Technology, an International Journal
Subjects:
No-reference image quality assessment
Texture information
Structural information
Quality prediction
Correlation
Mean opinion score
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098621001609

Internet

http://www.sciencedirect.com/science/article/pii/S2215098621001609

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