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Image Restoration

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Digital Image Processing using SCILAB
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Abstract

This chapter provides basic operations for image restoration and discusses several types of noise. We also provide SCILAB codes for various theories related to image restoration and reconstruction.

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Bibliography

  1. Gonzalez, R., & Woods, R. (2008). Digital image processing. Upper Saddle River: Pearson Education India.

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  2. Gonzalez, R., Woods, R., & Eddins, L. (2009). Digital image processing using MATLAB. New Delhi: TATA McGraw-Hill Education.

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  3. Wiener, N. (1942). The interpolation, extrapolation and smoothing of stationary time series. Report of the Services 19, Research Project DIC-6037 MIT.

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  4. Baraniuk, R. (2005). Digital image processing. Houston: Rice University.

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Cite this chapter

Thanki, R.M., Kothari, A.M. (2019). Image Restoration. In: Digital Image Processing using SCILAB. Springer, Cham. https://doi.org/10.1007/978-3-319-89533-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-89533-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-89532-1

  • Online ISBN: 978-3-319-89533-8

  • eBook Packages: EngineeringEngineering (R0)

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