1. Image super-resolution using deep convolutional networks;Dong;IEEE Trans. Pattern Anal. Mach. Intell.,2016
2. Super-resolution through neighbor embedding;Chang,2004
3. Segmentation of medical image using k-means clustering and marker controlled watershed algorithm;Christ;Eur. J. Scient. Res.,2012
4. An application of Markov random fields to range sensing;Diebel,2005
5. Nonlocally centralized sparse representation for image restoration;Dong;Image Process. IEEE Trans.,2013