MOLECULAR SCIENCES AND APPLICATIONS
Print ISSN: 2944-9138, E-ISSN: 2732-9992 An Open Access International Journal of Molecular Sciences and Applications
Volume 4, 2024
Processing of Idiopathic Pulmonary Fibrosis images based on spatial interpolation using DFT, FFT, DCT and LPF
Authors: ,
Abstract: The work focuses on the study of existing issues with some medical images obtained from patients with Idiopathic Pulmonary Fibrosis (IPF) who have survived this COVID-19 pandemic. This study analyzes potential causes of incorrect medical diagnoses with this disease. In this regard, we employ numerical algorithms such as DFT (Discrete Fourier Transform), FFT (Fast Fourier Transform), DCT (Discrete Cosine Transform), and LPF (Low-pass filter). The main objective of this work is to demonstrate that with these numerical algorithms based on Continuous and Discrete Fourier Theory, it is possible to filter existing noise in IPF radiography images. Furthermore, it is possible to compress, enhance, and improve their resolution so that better decisions can be made in a medical protocol. In this way, it contributes to the understanding of the true images that would be used for an optimal medical diagnosis.
Search Articles
Keywords: Discrete Cosine Transform, Discrete Fourier Transform, Fast Fourier Transform, Idiopathic Pulmonary Fibrosis, Low-pass filter, Medical Image Processing
Pages: 111-116
DOI: 10.37394/232023.2024.4.10