Design and Verification of Modified Regression based Image Interpolation Method with High PSNR: A Review |
Author(s): |
| Dinabandhu Kumar , JEC JABALPUR M.P INDIA |
Keywords: |
| CUDA (Compute Unified Device Architecture), PAR (Pixel Accept Ratio), PEE (Percentage Edge Error), PSNR (Peak Signal to Noises Ratio), NN (Nearest Neighbours) |
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: IJSRDV5I90593 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 918-920 |
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