Medical and color images compression using new wavelet transformation

Document Type : Research Paper

Authors
Ala Kodrz Rostam 1
Asim M. Murshid 2
Borhan F. Jumaa 1
1 Department of Computer Science, Kirkuk of University, Kirkuk, Iraq
2 Department of Software, Kirkuk of University, Kirkuk, Iraq
10.22075/ijnaa.2022.7084
Abstract
In recent years, technology has developed very dramatically in all fields, such as imaging technology, which has become crucial in most medical fields. Currently, widely medical images are used to diagnose and treat various illnesses. This research describes a novel waveform developed from the principle of torsion in Haar with Cosine and Sine waves (CAS) for compressing color and medical images such as Magnetic Resonance Imaging (MRI) and computed tomography (CT). This research proposes a method that discusses medical image decomposition and color images using novel waveform analysis for image compression, and how wavelet is utilized for image restoration. The experiments demonstrate that our method is more accurate and compressive than the Haar wavelet Transform (Haar) when comparing numerical results of  Compressed file size, CR (Compression Ratio), PSNR (Peak Signal Noise Ratio) and RMSE (Root Mean Square Error). Furthermore, the method achieves better image quality.
Keywords
Haar
Sine and Cosine waves
Image Compression
Compressed file size
CR
PSNR
and RMSE
International Journal of Nonlinear Analysis and Applications
Volume 14, Issue 1
January 2023
Pages 1857-1866

  • Receive Date 10 August 2022
  • Revise Date 21 September 2022
  • Accept Date 01 October 2022

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