Image magnification by least squares surfaces
| Autor: | Ali Mohammad Esmaili Zaini, Ghasem Barid Loghmani, Ali Mohammad Latif |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Iranian Journal of Numerical Analysis and Optimization, Vol 7, Iss 2, Pp 1-14 (2017) |
| Druh dokumentu: | article |
| ISSN: | 2423-6977 2423-6969 |
| DOI: | 10.22067/ijnao.v7i2.52815 |
| Popis: | Image magnification is one of the current issues of image processing in which keeping the quality and structure of images is the main concern. In im- age magnification, it is necessary to insert information in extra pixels. Adding information to an image should be compatible with the image structure with- out making artificial blocks. In this research, extra pixels are estimated using the surface of least squares, and all the pixels are reviewed according to the suggested edge-improving algorithm. The suggested ethod keeps the edges and minimizes the magnified image opacity and the artificial blocks. Numer- ical results are presented by using PSNR and SSIM fidelity measures and compared to some other methods. The average PSNR of the original image and image zooming is 32.79 which it shows that image zooming is very similar to the original image. Experimental results show that the proposed method has a better performance than others and provides good image quality. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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