1.2k citations · 2.5k across the 68 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.CV2015★ 37 cited
Boosting Optical Character Recognition: A Super-Resolution Approach
Chao Dong, Ximei Zhu, Yubin Deng +2
Text image super-resolution is a challenging yet open research problem in the computer vision community. In particular, low-resolution images hamper the performance of typical opti…
cs.CV2015
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong, Yubin Deng, Chen Change Loy +1
Lossy compression introduces complex compression artifacts, particularly the blocking artifacts, ringing effects and blurring. Existing algorithms either focus on removing blocking…
cs.CV2015★ 141 cited
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is re…