원문정보
초록
영어
A novel objective quality assessment method is proposed for super-resolution images in this manuscript. We not only estimate the preserved information of each spatial location in the super-resolution image by structural similarity, but also compute the local phase coherence (LPC) with which we can detect the image blur in the super-resolution image. After the preserved structural information and blur information is obtained, an overall evaluation of visual quality of the super-resolution image can be computed. Experimental results show that the proposed objective quality assessment method can be used in the real applications with the original high-resolution images unavailable.
목차
1. Introduction
2. The Proposed Method
2.1. SSIM Map Estimation
2.2. Local Phase Coherence
2.3. Quality Assessment Model
3. Experimental Results
3.1. Experiment I
3.2. Experiment II
4. Conclusion
References