Image quality assessment using edge based features

Attar, A. and Shahbahrami, A. and Rad, R.M. (2016) Image quality assessment using edge based features. Multimedia Tools and Applications, 75 (12). pp. 7407-7422. ISSN 1380-7501, DOI

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There are many applications for Image Quality Assessment (IQA) in digital image processing. Many techniques have been proposed to measure the quality of an image such as Peak Signal to Noise Ratio (PSNR), Structural Similarity (SSIM), and Mean Structural Similarity Index Measurement (MSSIM). In this paper, a new technique, namely, Edge Based Image Quality Assessments (EBIQA) is proposed. The proposed technique is based on different edge features which are extracted from original (distortion free) and distorted images. The new approach was implemented and tested using different images which have been taken from A57 and WIQ image databases. The experimental results show that the functionality of the EBIQA technique is better than the state of art IQA techniques. The proposed technique is consistent with the mean opinion score which makes it suitable for automatic image quality assessment.

Item Type: Article
Uncontrolled Keywords: Image quality assessment; Edge based features; Full reference
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 22 Nov 2017 05:59
Last Modified: 24 Sep 2019 08:06

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