Self-Tuned Deep Super Resolution

22 Apr 2015Zhangyang WangYingzhen YangZhaowen WangShiyu ChangWei HanJianchao YangThomas S. Huang

Deep learning has been successfully applied to image super resolution (SR). In this paper, we propose a deep joint super resolution (DJSR) model to exploit both external and self similarities for SR. A Stacked Denoising Convolutional Auto Encoder (SDCAE) is first pre-trained on external examples with proper data augmentations... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.