Homomorphic Denoising Filtering for 3D Face Recognition

Abstract

Image denoising is a crucial method in image processing in many sectors including Medicine, Engineering, Statistics, Physics, Chemistry, and Information Science that require a clear image for examination. Image denoising is a procedure to remove noise that shows up on images caused by interference. Each image denoising method has its own advantages and constraints in its respective algorithms. The principal objective of this work is to develop algorithm for denoising of non additive noise and to be applied in facial recognition for future reconnaissance frameworks. The homomorphic denoising filter based on Wiener algorithm produces a superior outcome in image denoising and also creates a better quality of 3D images in terms of MSE, PSNR, and SNR measures.

Authors 3

1. Mat Kamil Awang

   National Defence University of Malaysia

   Affiliation as printed

   National Defence University of Malaysia,Faculty of Engineering,Kuala Lumpur,Malaysia

   Faculty of Engineering, National Defence University of Malaysia, Kuala Lumpur, Malaysia

2. Nurul Kamilah Mat Kamil Aachen Faculty of Electrical Engineering and Information Technology

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Aachen,Germany

   Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany

3. Muhammad Hakimi Zamri

   National Defence University of Malaysia

   Affiliation as printed

   National Defence University of Malaysia,Faculty of Engineering,Kuala Lumpur,Malaysia

   Faculty of Engineering, National Defence University of Malaysia, Kuala Lumpur, Malaysia