Title: Optimisation of two-channel QMF bank using modified cuckoo search technique for biomedical image applications

Authors: Agya Ram Verma; Yashvir Singh

Addresses: Department of Electronics & Communication Engineering, G. B. Pant Engineering College, Pauri-Garhwal, Uttarakhand, 246194, India ' Department of Electronics & Communication Engineering, G. B. Pant Engineering College, Pauri-Garhwal, Uttarakhand, 246194, India

Abstract: In this paper, an improved technique for the design of two-channel linear phase Quadrature Mirror Filter (QMF) bank with Modified Cuckoo Search (MCS) technique is represented. The performance of proposed scheme is compared with other reported methods for QMF bank design. Based on the simulation results, it is demonstrated that the proposed MCS method can achieve 17 times reduction in pass band error, 215 times lower stop band error, 41 times decrease in transition band error and 7.7 times reduction in measure of ripple (mor) when compared with recently reported Improved Particle Swarm Optimisation (IPSO) technique. Moreover, the proposed QMF bank applied for sub-band decomposition reconstruction of a biomedical image provides 43% reduction in mean square error and 8.3 dB higher peak signal-to-noise ratio compared to IPSO algorithm.

Keywords: QMF; MCS; biomedical image; sub-band coding.

DOI: 10.1504/IJBET.2017.083821

International Journal of Biomedical Engineering and Technology, 2017 Vol.24 No.1, pp.90 - 102

Received: 08 Jan 2016
Accepted: 16 May 2016
Published online: 24 Apr 2017 *

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