Distortion-specific feature selection algorithm for universal blind image quality assessment

Distortion-specific feature selection algorithm for universal blind image quality assessment

Abstract Blind image quality assessment (BIQA) aims to use objective measures for predicting the quality score of distorted images without any prior information regarding the reference image. Several BIQA techniques are proposed in literature that use a two-step approach, i.e., feature extraction fo...

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Bibliographic Details
Main Authors: Imran Fareed Nizami, Muhammad Majid, Waleed Manzoor, Khawar Khurshid, Byeungwoo Jeon
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Blind image quality assessment
Feature extraction
Feature selection
Classification
Support vector regression
Online Access:http://link.springer.com/article/10.1186/s13640-018-0392-5

Internet

http://link.springer.com/article/10.1186/s13640-018-0392-5

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