Modified Method for Efficient Contrast Enhancement of Image Using Homomorphic Filter

Rashmi Choudhary , Sushopti Gawade

Contrast Enhancement, Histogram Equalization, Histogram Modification, Fourier Transformation , High Pass Filter, Homomorphic Filter.

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.

Published Paper   E-Certificate

"Modified Method for Efficient Contrast Enhancement of Image Using Homomorphic Filter", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.136 - 139, July-2016, Available :https://ijsdr.org/papers/IJSDR1607022.pdf

Volume 1 Issue 7, July-2016

Pages : 136 - 139

Paper Reg. ID: IJSDR_160584

Published Paper Id: IJSDR1607022

Downloads: 000346998

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1607022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1607022

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition