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Medical and color images compression using new wavelet transformation | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 145، دوره 14، شماره 1، فروردین 2023، صفحه 1857-1866 اصل مقاله (1.78 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.7084 | ||
| نویسندگان | ||
| Ala Kodrz Rostam* 1؛ Asim M. Murshid2؛ Borhan F. Jumaa1 | ||
| 1Department of Computer Science, Kirkuk of University, Kirkuk, Iraq | ||
| 2Department of Software, Kirkuk of University, Kirkuk, Iraq | ||
| تاریخ دریافت: 19 مرداد 1401، تاریخ بازنگری: 30 شهریور 1401، تاریخ پذیرش: 09 مهر 1401 | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Haar؛ Sine and Cosine waves؛ Image Compression؛ Compressed file size؛ CR؛ PSNR؛ and RMSE | ||
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