Multi-scale Non-Local Kernel Regression for super resolution
Haichao Zhang, Jianchao Yang, Yanning Zhang, Thomas S. Huang · 2011
In this paper, we propose an extension of the Non-Local Kernel Regression (NL-KR) method and apply it to super-resolution (SR) tasks. The proposed method extends NL-KR via generalizing the self-similarity from single-scale to multi-scale, and propose an effective SR algorithm using the proposed multi-scale NL-KR model. Experimental results on both synthetic and real images demonstrate the effectiveness of the proposed method.