Partial image blur detection and segmentation from a single snapshot

@article{Wang2017PartialIB,
  title={Partial image blur detection and segmentation from a single snapshot},
  author={Te-Li Wang and Kuan-Yun Lee and Yu-Chiang Frank Wang},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={1907-1911}
}
In this paper, we address the problem of detecting and segmenting partial image blur from a single input image. Instead of assuming particular image priors or requiring additional user annotation, we propose a novel learning framework which jointly solves the tasks of blur kernel estimation and image blur segmentation, so that partial image blur can be automatically separated from the remaining parts of the input image. By alternating between the two learning tasks, we show that our proposed… CONTINUE READING

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