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Paper Title
Misaligned Image Integration Technique with Local Linear Model using Bilinear Interpolation
  Dr. S. Panneer Arokiarj,  Vinumon Jacob

The purpose of medical image fusion is to extract and synthesize the main features of multimodality images; therefore, the quality of image fusion highly depends on the performance of image feature extraction. In this project BOX Filtering is applied to a single source images. Box filtering involves replacing each pixel of an image with the average in a box propose a novel explicit image filter called guided filter for image fusion which is derived from a local linear model, the guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The fused image can be again denoised by Bilinear Interpolation. Bilinear interpolation is often used to improve image quality after performing spatial transformation operations such as digital zooming or rotation. The necessity of rescaling images arises in many different situations. For instance, in the adjustment of an image to a screen, in the configuration of an image to be printed orin a simple zoom done on a display are examples of common rescaling situations. Basically there are two different kinds of rescaling depending on whether we are interested on enlarge or shrink the original image. In both cases, the most common procedures use interpolation methods. There are many different interpolation methods for image processing. The most widely used are the Nearest Neighbor Interpolation, BilinearInterpolation, Bicubic Interpolation and Lanczos Interpolation.

Keywords- Image Integration, Image Fusion, Box Filtering, Guided Filtering, Bi-linear Interpolation
Publication Details
Unique Identification Number - IJEDR1804101
Page Number(s) - 565-574
Pubished in - Volume 6 | Issue 4 | December 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Dr. S. Panneer Arokiarj,  Vinumon Jacob,   "Misaligned Image Integration Technique with Local Linear Model using Bilinear Interpolation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.565-574, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804101.pdf
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