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A segmentation-based image zooming algorithm using artificial neural networks | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 102، دوره 14، شماره 1، فروردین 2023، صفحه 1331-1337 اصل مقاله (475.14 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.27446.3602 | ||
| نویسندگان | ||
| Mohammad M. AlyanNezhadi* 1؛ Ashkan Fakhri1؛ Farzan Afshari2 | ||
| 1Faculty of Science, University of Science and Technology of Mazandaran, P.O. Box 4851878195, Behshahr, Iran | ||
| 2Faculty of Physics, Semnan University, Semnan, Iran | ||
| تاریخ دریافت: 13 دی 1400، تاریخ بازنگری: 28 اسفند 1400، تاریخ پذیرش: 25 اردیبهشت 1401 | ||
| چکیده | ||
| This paper aims to present a useful method for magnifying images, for which it is necessary to group the pixels and define the borders. In the proposed method, images are first partitioned using suitable segmentation algorithms and then artificial neural networks (ANNs) are applied to magnify each segment individually. In the ANNs applied, training is performed using, as input, a down-sampled form of the same image to be magnified. This type of training results in a high quality zoom in each segment since the pixels in an individual segment have very close features. Evaluation results on several images verifies the higher efficiency of the proposed method than other recently developed image zooming methods. | ||
| کلیدواژه‌ها | ||
| Artificial Neural Network؛ Machine Learning؛ Multi-Layer Perceptron؛ Image processing؛ Image Zooming؛ Image Segmentation | ||
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آمار تعداد مشاهده مقاله: 17,184 تعداد دریافت فایل اصل مقاله: 276 |
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