Title: Performance analysis of biorthogonal filter design using the lifting-based scheme for medical image transmission

Authors: Chetan Huchegowda; G. Indumathi; Naveen Huchegowda

Addresses: Visveswaraya Technological University, Jnana Sangama, Machhe, Belgaum, Karnataka 590018, India ' Department of Electronics and Communication, Cambridge Institute of Technology, Bangalore, India ' Department of Electronics and Communication, New Horizon College of Engineering, Bangalore, India

Abstract: To minimise the storage space and for fast transfer of the digital images, it is necessary for the medical images to undergo image compression. There are various techniques in which the images are being diagnosed, based on that the image compression being performed. The choice of the filters in the image compression is an issue which affects the quality of the image. Hence, a novel biorthogonal filter using the lifting scheme has been developed. The proposed architecture gives the same characteristics of second generation wavelets. The proposed architecture is designed using MATLAB for different medical images and the PSNR, SNR, MSE, BPP having a compression of 96.85%. The verified model is synthesised using Xilinx Spartan-6 FPGA with the speed of −3. The results show that the designed method works at a frequency of 252.89 MHz, and absorbs the power 0.036 W for 2.5 volts with temperature at 25.2°C.

Keywords: DWT; DTDWT; medical image transmission; biorthogonal filter.

DOI: 10.1504/IJCAET.2021.113545

International Journal of Computer Aided Engineering and Technology, 2021 Vol.14 No.2, pp.189 - 205

Received: 23 Nov 2017
Accepted: 20 Jun 2018
Published online: 11 Mar 2021 *

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