关键词: 图像质量评价, 超分辨图像重建, 结构相似度, 尺度空间理论

Abstract: Super-Resolution（SR） imaging can increase the image resolution in spite of the detector limitation, but also bring the change of image size. In this paper, a Reduced-Reference Image Quality Assessment（RRIQA） algorithm based on the Structural Similarity Image Metric（SSIM） and Scale Invariant Feature Transform（SIFT） is proposed. This algorithm is also applicable to more referenced images. Experimental comparisons demonstrate the effectiveness of the proposed method and it is applicable to the condition of size changing.

Key words: image quality assessment, imaging super-resolution reconstruction, Structural Similarity Image Metric（SSIM）, Scale Invariant Feature Transform（SIFT）