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Volume 3 | Issue 10

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Paper Title: DESIGN AND VERIFICATION OF NEWTON RAPSON REGRESSION (NRR) BASED IMAGE INTERPOLATION METHODS
Authors Name: Shubhra Pal , Neeta Nathani
Unique Id: IJRTI1810009
Published In: Volume 3 Issue 10, October-2018
Abstract: The proposed work proposes a unique edge-adaptive image interpolation method using an edge-directed smoothness filter. Many image interpolation techniques are already been developed and designed we are proposing a new method is been used for edge-adaptive image interpolation which uses Newton forward difference. This difference provides very good grouping of pixels ones we consider target pixel for interpolation Proposed approach estimates the enlarged image from the original image based on an observation model. The estimated image is constrained to have many edge-directed smooth pixels which are measured by using the edge-directed smoothness filter. Simulation results for the work is developed using MATLAB and produces images with higher visual quality, higher PSNRs and faster computational times than the conventional methods
Keywords: PSNR(Peak Signal to Noise Ratio), MSE( Mean Square Error), PEE(Percentage Edge Error) HSV( Hue Saturation and Value), MF( Magnification Factor), NN(Nearest Nabors)
Cite Article: "DESIGN AND VERIFICATION OF NEWTON RAPSON REGRESSION (NRR) BASED IMAGE INTERPOLATION METHODS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 10, page no.50 - 54, October-2018, Available :http://www.ijrti.org/papers/IJRTI1810009.pdf
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Publication Details: Published Paper ID: IJRTI1810009
Registration ID:180524
Published In: Volume 3 Issue 10, October-2018
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ISSN Number: 2456 - 3315
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