UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907G82


Registration ID:
222307

Page Number

259-267

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Title

Multimodal Medical Image Fusion by Combining Box Filtering and Guided Filtering Techniques using Bi-Linear Interpolation

Abstract

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 research 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 or in 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 Neighbour Interpolation, Bilinear Interpolation, Bi-cubic Interpolation and Lanczos Interpolation.

Key Words

Multi-modal Image, Image Fusion, Box Filtering, Guided Filtering, Bi-linear Interpolation

Cite This Article

"Multimodal Medical Image Fusion by Combining Box Filtering and Guided Filtering Techniques using Bi-Linear Interpolation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.259-267, June 2019, Available :http://www.jetir.org/papers/JETIR1907G82.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Multimodal Medical Image Fusion by Combining Box Filtering and Guided Filtering Techniques using Bi-Linear Interpolation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp259-267, June 2019, Available at : http://www.jetir.org/papers/JETIR1907G82.pdf

Publication Details

Published Paper ID: JETIR1907G82
Registration ID: 222307
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 259-267
Country: changanassery, kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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