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Out of focus multi-spectral image de-blurring using texture extraction and modified fourier transform

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Abstract

Multi-spectralimages suffers from out-of-focusblur due to well focused camera at the reference imaging channel. A framework for out-of-focus images de-blurring using texture extraction and modified Fourier transform is proposed. The texture is extracted from the blurred image using region covariance. Fourier transform is modified by modification of guided image (as prior) using L0 gradient projection followed by detail amplification which is used as an input for Fourier transform. For further enhancement, the multi-spectral de-blurred images are smooth, and ringing artifacts are minimized by combining with the textures extracted to ensure maximum edge preservation. Comparison of proposed and existing schemes on different multi-spectral images explains the advantage of the proposed scheme for de-blurring in terms of edge preservation, noise and artifacts removal.

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Authors and Affiliations

  1. National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Mehwish Iqbal, Abdul Ghafoor & Attiq Ahmad

  2. Centre for Advanced Studies in Telecommunication (CAST), COMSATS, Islamabad, Pakistan

    Muhammad Mohsin Riaz & Syed Sohaib Ali

Authors
  1. Mehwish Iqbal
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  2. Muhammad Mohsin Riaz
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  3. Abdul Ghafoor
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  4. Attiq Ahmad
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  5. Syed Sohaib Ali
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Correspondence to Abdul Ghafoor.

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Iqbal, M., Riaz, M.M., Ghafoor, A. et al. Out of focus multi-spectral image de-blurring using texture extraction and modified fourier transform. Multimed Tools Appl 80, 12671–12684 (2021). https://doi.org/10.1007/s11042-020-10232-w

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  • DOI: https://doi.org/10.1007/s11042-020-10232-w

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