Due to the existing image quality assessment algorithm does not take the visual information and the essential features of the image into account and cannot meet the actual need, a new method of objective quality assessment which related to both cases was proposed in this paper. The singular value information of the image shows the essential information of image and human eyes are sensitive to the edge information of image. Theoretically, the algorithm of image quality assessment based on edge information and Singular Value Decomposition is better than traditional methods. The simulation experiment results show the proposed algorithm is more consistent with human subject scores and has greater stability than traditional methods. Through comparison with the time efficiency, the proposed algorithm can basically be able to meet the practical demand, and the algorithm is more usability.
목차
Abstract 1. Introduction 2. The Edge Information and Singular Value Information 3. The Singular Value Decomposition of the Edge Information of the Image 3.1. Sobel Operator 3.2. The Singular Value Decomposition (SVD) 3.3. Singular Value Decomposition of Edge information of the image 4. The Experiment Method 4.1. The Selection of Image Database 4.2. The Selection of Image Database 4.3. Experimental Procedures 4.4. Experimental Results and Analysis 5. Conclusion Acknowledgements References
키워드
The edge information of image; Singular value decomposition; Image quality assessment
저자
Jie Li [ College of Electronic Information and Engineering, Changchun University,Changchun130022, China ]
Chunzhe Wang [ College of Electronic Information and Engineering, Changchun University of Science and Technology, Changchun130022, China ]
Mingjing Li [ College of Electronic Information and Engineering, Changchun University,Changchun130022, China ]
PanGuo [ College of Electronic Information and Engineering, Changchun University of Science and Technology, Changchun130022, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.6