원문정보
초록
영어
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
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