Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement
Facilitating diagnosis and therapy. A common degradation in MR images is deficient contrast. This degradation affects the image with a layer of murkiness, reducing the clarity of details. Various contrast enhancement (CE) methods produce unsatisfactory results due to brightness amplification or arti...
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| Format: | Article |
| Language: | English |
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Khairun University, Faculty of Engineering, Department of Electrical Engineering
2025-05-01
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| Series: | Protek: Jurnal Ilmiah Teknik Elektro |
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| Online Access: | https://ejournal.unkhair.ac.id/index.php/protk/article/view/9686 |
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| author | Manar Al-Abaji Zohair Al-Ameen |
| author_facet | Manar Al-Abaji Zohair Al-Ameen |
| author_sort | Manar Al-Abaji |
| collection | DOAJ |
| description | Facilitating diagnosis and therapy. A common degradation in MR images is deficient contrast. This degradation affects the image with a layer of murkiness, reducing the clarity of details. Various contrast enhancement (CE) methods produce unsatisfactory results due to brightness amplification or artifact generation. Therefore, an effective CE algorithm called (WRGC) is introduced, which depends on two transformations of Weibull (W) and Rayleigh (R) distribution with modified gamma correction (GC), applied separately. The three resulting images are combined to obtain the features of all three images using an adapted logarithmic addition method. Finally, the output image is acquired by applying the normalization method. The proposed algorithm is tested with many degraded MR images obtained from the CTisus website. Moreover, it was compared with four different CE approaches and evaluated using three measures. The results showed that the proposed method outperformed many existing CE algorithms and provided satisfactory visual details and contrast-adjusted results. |
| format | Article |
| id | doaj-art-4e5edd44ca0f49658744d756085fe4b3 |
| institution | OA Journals |
| issn | 2354-8924 2527-9572 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Khairun University, Faculty of Engineering, Department of Electrical Engineering |
| record_format | Article |
| series | Protek: Jurnal Ilmiah Teknik Elektro |
| spelling | doaj-art-4e5edd44ca0f49658744d756085fe4b32025-08-20T01:48:37ZengKhairun University, Faculty of Engineering, Department of Electrical EngineeringProtek: Jurnal Ilmiah Teknik Elektro2354-89242527-95722025-05-0112212112710.33387/protk.v12i2.96865072Using S-Curve Transforms and Gamma Correction for MR Images Contrast EnhancementManar Al-Abaji0Zohair Al-AmeenDepartment of Computer Science, College of Education for Pure Science, University of Mosul, Nineveh, IraqFacilitating diagnosis and therapy. A common degradation in MR images is deficient contrast. This degradation affects the image with a layer of murkiness, reducing the clarity of details. Various contrast enhancement (CE) methods produce unsatisfactory results due to brightness amplification or artifact generation. Therefore, an effective CE algorithm called (WRGC) is introduced, which depends on two transformations of Weibull (W) and Rayleigh (R) distribution with modified gamma correction (GC), applied separately. The three resulting images are combined to obtain the features of all three images using an adapted logarithmic addition method. Finally, the output image is acquired by applying the normalization method. The proposed algorithm is tested with many degraded MR images obtained from the CTisus website. Moreover, it was compared with four different CE approaches and evaluated using three measures. The results showed that the proposed method outperformed many existing CE algorithms and provided satisfactory visual details and contrast-adjusted results.https://ejournal.unkhair.ac.id/index.php/protk/article/view/9686-curve transform, gamma correction, contrast enhancement, lip, mri. |
| spellingShingle | Manar Al-Abaji Zohair Al-Ameen Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement Protek: Jurnal Ilmiah Teknik Elektro -curve transform, gamma correction, contrast enhancement, lip, mri. |
| title | Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement |
| title_full | Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement |
| title_fullStr | Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement |
| title_full_unstemmed | Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement |
| title_short | Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement |
| title_sort | using s curve transforms and gamma correction for mr images contrast enhancement |
| topic | -curve transform, gamma correction, contrast enhancement, lip, mri. |
| url | https://ejournal.unkhair.ac.id/index.php/protk/article/view/9686 |
| work_keys_str_mv | AT manaralabaji usingscurvetransformsandgammacorrectionformrimagescontrastenhancement AT zohairalameen usingscurvetransformsandgammacorrectionformrimagescontrastenhancement |