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A new adaptive threshold method for FMDFB Gaussian subbands for image denoising application

E. JEBAMALAR LEAVLINE1,* , S. SUTHA2, D. ASIR ANTONY GNANA SINGH3

Affiliation

  1. Department of Electronics and Communication Engineering, Anna University, BIT Campus, Tiruchirappalli – 620 024, Tamilnadu, India
  2. Department of Electrical and Electronics Engineering, University College of Engineering, Dindigul, Anna University, Tamilnadu, India
  3. Department of Computer Science and Engineering, Anna University, BIT Campus, Tiruchirappalli – 620 024, Tamilnadu, India

Abstract

Denoising is the process of mitigating the undesired noisy components present in images. This paper proposes a new subband adaptive threshold technique in FMDFB domain for noise removal. FMDFB is a multiscale perfect reconstruction filter bank structure that is efficiently used to represent images in various image processing applications including denoising. Since, the FMDFB coefficients differ from wavelet coefficients, a mere wavelet based fixed threshold will oversmooth the images. Hence, this paper proposes a subband adaptive threshold estimation scheme to determine the suitable threshold in FMDFB domain for denoising. Our experimental results depict that the proposed denoising scheme outperforms conventional multiscale denoising schemes such as wavelet and contourlet based denoising..

Keywords

Image denoising, FMDFB, Wavelet transform, Adaptive threshold, SSIM.

Citation

E. JEBAMALAR LEAVLINE, S. SUTHA, D. ASIR ANTONY GNANA SINGH, A new adaptive threshold method for FMDFB Gaussian subbands for image denoising application, Optoelectronics and Advanced Materials - Rapid Communications, 9, 9-10, September-October 2015, pp.1315-1321 (2015).

Submitted at: July 19, 2015

Accepted at: Sept. 9, 2015