Qalaai Zanist Scientific Journal
گۆڤارى قەڵاى زانست

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Qalaai Zanist Scientific Journal  
Volume 2, Issue 2, April 2017

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Paper Title: Image Enhancement By Using Homomorphic Filtering Model
Author (s): Asst.Prof. Amel H.Abbas - AL-Mustansiriyah University - Iraq
Prof. Dr. Jamila Harbi -
AL-Mustansiriyah University - Iraq
Index Terms: uniform Illumination, Gamma intensity, Image enhancement, Homomorphic filtering.
Abstract: A number of techniques have been proposed in the literature to deal with the illumination induced appearance variations ranging from simple image enhancement techniques, such as histogram equalization or gamma intensity correction. In this paper we proposed a homomorphic filtering model or the logarithmic total variation model to enhance non uniform illumination in real experimental image. This model will be enhancing the brightness in high frequency and in low frequency. We improved the image by using the output resulted from our proposed model as input again to this model, the final enhanced image is de-noised from all unwanted details and the edge will be enhanced in all direction. Some fidelity parameters is applied and we obtain an acceptable results.
Cite This Paper (APA): H.Abbas, A., & Harbi, J. (2017). Image Enhancement By Using Homomorphic Filtering Model. Qalaai Zanist Scientific Journal, 2(2). doi:10.25212/lfu.qzj.2.2.32
Text Language: English
Pp.: 315 - 322
Full Text:


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A Scientific Quarterly Refereed Journal, Published by Lebanese French University (LFU) , Erbil - Kurdistan, Iraq
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