Resolution using Spline Interpolation and Non Local Means Improved Iterative Back Projection based Super

SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01, FEB 2018 PP.(243-246)
Abstract– Image super resolution techniques produce high-resolution image from low resolution (LR) images. Existing super resolution method has slow convergence and recovery of high frequency details are inaccurate. To overcome this issue image super-resolution technique based on guided bilateral iterative back projection has been used to produce the high-resolution image with low noise, minimal blur and restores high frequency details. Guided bilateral(GB) filtering is used for edge preservation. The LR images undergo sharpness measure using gradient method. The denoising has been performed for the filtered LR images using non local means method. De-noised images have been interpolated using Cubic B spline interpolation. The interpolated image is processed using guided bilateral iterative back projection method to obtain high resolution (HR) images. The parameters PSNR and MSE of HR image are calculated for studying the performance of proposed method.
Index Terms – super resolution (SR), Cubic B spline, iterative back projection (IBP), non-local means.
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Vinitha S, Deepa PVinitha S, Deepa P
Government College of Technology,
Coimbatore, India
Indiavinithasurendran3@gmail.com, deepap05@gmail.com

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