Image Interpolation Methods and Problems: A Review |
Author(s): |
| Prashant Kushwaha , Gyan Ganga College of Technology, Jabalpur; Amit Chouksey, Gyan Ganga College of Technology, Jabalpur |
Keywords: |
| CUDA (Compute Unified Device), PAR (Pixel Accept Ratio), PEE (Percentage Edge Error), Peak Signal-To-Noise Ratio (PSNR), NN (Nearest Nabors) |
Abstract |
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In computer graphics, image interpolation is the process of resizing a digital image. Interpolation is a non-trivial process that involves enhancement in sense of efficiency, smoothness and sharpness. With bitmap graphics, as the size of an image is enlarged, the pixels that form the image become increasingly visible, making the image appear "soft" if pixels are averaged, or jagged if not. Image interpolation methods however, often suffer from high computational costs and unnatural texture interpolation. This work intends to give an overview of image Interpolation, its uses & techniques. The paper work is an implementation of Image interpolation of images. |
Other Details |
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Paper ID: IJSRDV6I100412 Published in: Volume : 6, Issue : 10 Publication Date: 01/01/2019 Page(s): 697-699 |
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