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Volume 3 | Issue 10

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Paper Title: DESIGN AND VERIFICATION OF MODIFIED REGRESSION BASED IMAGE INTERPOLATION METHOD: Review
Authors Name: VEERENDRA KUMAR KURMI , PROF. DEVENDRA KUMAR MEDA
Unique Id: IJRTI1807032
Published In: Volume 3 Issue 7, July-2018
Abstract: 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.
Keywords: CUDA (Compute Unified Device), PAR (Pixel Accept Ratio), PEE (Percentage Edge Error), peak signal-to-noise ratio (PSNR), NN (Nearest Nabors)
Cite Article: "DESIGN AND VERIFICATION OF MODIFIED REGRESSION BASED IMAGE INTERPOLATION METHOD: Review ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 7, page no.212 - 214, July-2018, Available :http://www.ijrti.org/papers/IJRTI1807032.pdf
Downloads: 00058
Publication Details: Published Paper ID: IJRTI1807032
Registration ID:180357
Published In: Volume 3 Issue 7, July-2018
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ISSN Number: 2456 - 3315
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