A segmentation-based image zooming algorithm using artificial neural networks
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 94
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJNAA-14-1_102
تاریخ نمایه سازی: 5 شهریور 1402
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Mohammad AlyanNezhadi
Faculty of Science, University of Science and Technology of Mazandaran, P.O. Box ۴۸۵۱۸۷۸۱۹۵, Behshahr, Iran
Ashkan Fakhri
Faculty of Science, University of Science and Technology of Mazandaran, P.O. Box ۴۸۵۱۸۷۸۱۹۵, Behshahr, Iran
Farzan Afshari
Faculty of Physics, Semnan University, Semnan, Iran