Learning-based super-resolution image reconstruction on multi-core processor

@article{Goto2012LearningbasedSI,
  title={Learning-based super-resolution image reconstruction on multi-core processor},
  author={Tomio Goto and Y. Kawamoto and Yasuhiro Sakuta and A. Tsutsui and Masaru Sakurai},
  journal={IEEE Transactions on Consumer Electronics},
  year={2012},
  volume={58}
}
Super-resolution image reconstruction is an important technology in many image processing areas such as image sensing, medical imaging, satellite imaging, and television signal conversion. It is also being used as a unique selling point for a recent consumer HDTV set equipped with a multi-core processor. Among the various super-resolution methods, the learning-based method is one of the most promising solutions. However, this method is difficult to implement in real time because of the… CONTINUE READING

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