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Non-uniform Deblurring from Blurry/Noisy Image Pairs

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Computer Vision and Image Processing (CVIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1147))

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Abstract

In this paper, we address the problem of recovering a sharp image from its non-uniformly blurred version making use of a known but noisy version of the same scene. The recovery process includes three main steps - motion estimation, segmentation and uniform deblurring. The noisy image is first denoised and then used as a reference image for estimating the motion occurred in the non-uniformly blurred image. From the obtained motion vectors, the blurred image is segmented into image blocks encountered with uniform motion. To deblur these uniformly blurred segments, we use a two step process where we first generate an unnatural representation under an \(l_{0}\) minimization frame work followed by a hyper-Laplacian prior based non-blind deconvolution. The resulting deblurred segments are finally concatenated to form the output image. The proposed method gives better results in comparison with other state of the art methods.

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Authors and Affiliations

  1. Mar Baselios College of Engineering and Technology, Thiruvananthapuram, India

    P. L. Deepa

  2. College of Engineering, Thiruvananthapuram, India

    C. V. Jiji

Authors
  1. P. L. Deepa
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  2. C. V. Jiji
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Corresponding author

Correspondence to P. L. Deepa .

Editor information

Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Deepa, P.L., Jiji, C.V. (2020). Non-uniform Deblurring from Blurry/Noisy Image Pairs. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1147. Springer, Singapore. https://doi.org/10.1007/978-981-15-4015-8_19

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  • DOI: https://doi.org/10.1007/978-981-15-4015-8_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4014-1

  • Online ISBN: 978-981-15-4015-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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