Image quality assessment using edge based features

被引：20
|
作者：
Attar, Abdolrahman [1 ]
Shahbahrami, Asadollah [2 ]
Rad, Reza Moradi [3 ]
机构：
[1] Lincoln Univ, Sch Comp Sci, Computat Intelligence Lab, Lincoln LN6 7TS, England
[2] Univ Guilan, Dept Comp Engn, Fac Engn, POB 3756-41635, Rasht, Iran
[3] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2016年 / 75卷 / 12期
关键词：
Image quality assessment; Edge based features; Full reference; STRUCTURAL SIMILARITY; STATISTICS;
D O I：
10.1007/s11042-015-2663-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：7407 / 7422
页数：16
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