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International Journal for Research Trends and Innovation
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Paper Title: Single- Image Super-Resolution using Active -Sampling Gaussian Techniques
Authors Name: SD.Ayesha Farhana , Dr.I.Santhi Prabha
Unique Id: IJRTI1908013
Published In: Volume 4 Issue 8, August-2019
Abstract: Gaussian process regression(GPR) is mostly widely used now-a-days for obtaining super resolution of an image but its applicability is limited by its computational cost when large number of examples are needed. In order to alleviate this problem a novel example learning based SR method called active-sampling Gaussian regression(AGPR).In this method in order to select more informative samples for training the regression parameters an active learning strategy is used, which shows an improvement on computational efficiency while preserving the quality of image.
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Cite Article: "Single- Image Super-Resolution using Active -Sampling Gaussian Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 8, page no.57 - 60, August-2019, Available :http://www.ijrti.org/papers/IJRTI1908013.pdf
Downloads: 0001021
Publication Details: Published Paper ID: IJRTI1908013
Registration ID:180979
Published In: Volume 4 Issue 8, August-2019
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ISSN Number: 2456 - 3315
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