Isaac Scientific Publishing

Frontiers in Signal Processing

A Hybrid Image Denoising Technique Using Neighbouring Wavelet Coefficients

Download PDF (332.1 KB) PP. 41 - 48 Pub. Date: July 10, 2017

DOI: 10.22606/fsp.2017.11005

Author(s)

  • Mantosh Biswas*
    Department of Computer Engineering, NIT Kurukshetra, India
  • Hari Om
    Department of Computer Science & Engineering, IIT Dhanbad, India

Abstract

This paper proposes a hybrid image denoising technique using neighbouring wavelet coefficients. The NeighShrink method groups the wavelet coefficients in non overlapping blocks and then thresholds empirically them blockwise. This method does not give good quality of image since it removes too many small wavelet coefficients. Our proposed scheme retains the modified coefficients and also gives good performance in terms of peak signal-to-noise ratio.

Keywords

Wavelet thresholding, image denoising, neighbouring coefficients, peak signal to-noise.

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