Earticle

초록

영어

Many researchers evaluate images by objective image quality assessments instead of subjective ones. Objective image quality assessment sets up mathematical model according to the human visual system, and it evaluates the image quality through the reference image and the distorted image. The Structural Similarity Index (SSIM) is one of the most classical methods in image quality assessment. However, SSIM has several inherent shortcomings. First, SSIM does not take spatial position, spatial frequency, or direction into account. Second, SSIM considers that different regions in an image have equal importance for overall image quality assessment. Third, it is unreasonable to use fixed parameters for various images. To overcome these shortcomings, we propose a new method of image quality assessment based on Nonsubsampled Contourlet Transform (NSCT). Firstly, NSCT is performed to decompose the image into a low-pass map and high-pass ones. Then, low-pass and high-pass maps are respectively assessed with different strategies. In addition, saliency map is added to describe the importance of different regions in an image. Last, we proposed an approach to calculate the adaptive parameters for various images. Experimental comparisons among five public benchmark databases demonstrate that the proposed method is better than other competing methods.

목차

Abstract
 1. Introduction
 2. Mathematical Theory
  2.1. The Non-subsampled Contourlet Transform
  2.2. Saliency Maps
 3. The Proposed Method
 4. Experimental Results and Discussion
  4.1. Experimental Setup
  4.2. Examples of Effectiveness Validation
  4.3. Evaluation Performance Comparison
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Pan Wang [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Wei Wu [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ] Corresponding author
• Xiaomin Yang [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Kai Liu [ School of Electrical Engineering and Information, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Gwanggil Jeon [ Department of Embedded Systems Engineering, University of Incheon, 12-1 Songdo-dong, Yeonsu-gu, Incheon406-772, Republic of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605