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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Modified Method for Efficient Contrast Enhancement of Image Using Homomorphic Filter
Authors Name: Rashmi Choudhary , Sushopti Gawade
Unique Id: IJSDR1607022
Published In: Volume 1 Issue 7, July-2016
Abstract: An image is defined as an array, or a matrix, of square pixels arranged in rows and columns. Image processing is a method of converting an image into digital form and perform some operation on it, in order to get an improved image. This paper proposes a new method for efficient contrast enhancement of an image. In image processing low contrast image analysis is a challenging problem. Low contrast digital images reduce the ability of observer in analyzing the image. Histogram based techniques are used to enhance contrast of all type of medical images. The principal objective of image enhancement is to process a given image so that the result is more suitable than the original image for a specific application. Here we propose a new method. In proposed method, we initially modify the histogram of input image using a histogram modification function and then we apply HE method for contrast enhancement on this modified histogram. After that we use homomorphic filtering for image sharpening and then to minimize the difference between input and processed image mean brightness, we normalize it.
Keywords: Contrast Enhancement, Histogram Equalization, Histogram Modification, Fourier Transformation , High Pass Filter, Homomorphic Filter.
Cite Article: "Modified Method for Efficient Contrast Enhancement of Image Using Homomorphic Filter", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.136 - 139, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607022.pdf
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Publication Details: Published Paper ID: IJSDR1607022
Registration ID:160584
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 136 - 139
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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