volume | PIER Journals

2008-02-03

Homomorphic Enhancement of Infrared Images Using the Additive Wavelet Transform

Huda Ashiba,

Dr. Huda Ashiba

Faculty of Electronic Engineering

Menoufia University

Egypt

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Kamal Awadalla,

Prof. Kamal Awadalla

Department of Electronics and Electrical Communication Engineering

Minufiya Univeristy

Egypt

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Said El-Halfawy,

Dr. Said El-Halfawy

Faculty of Electronic Engineering

Menoufia University

Egypt

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Fathi Abd El-Samie

Dr. Fathi Abd El-Samie

Department of Electronics and Electrical Communication Engineering

Menoufia University

Egypt

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Progress In Electromagnetics Research C, Vol. 1, 123-130, 2008

doi:10.2528/PIERC08012301 | Google Scholar

Abstract

This paper presents a new enhancement technique for infrared images. This technique combines the benefits of homomorphic image processing and the additive wavelet transform. The idea behind this technique is based on decomposing the image into subbands in an additive fashion using the additive wavelet transform. This transform gives the image as an addition of subbands of the same resolution. The homomorphic processing is performed on each subband, separately. It is known that the homomorphic processing on images is performed in the log domain which transforms the image into illumination and reflectance components. Enhancement of the reflectance reinforces details in the image. So, applying this process in each subband enhances the details of the image in each subband. Finally, an inverse additive wavelet transform is performed on the homomorphic enhanced subbands to get an infrared image with better visual details.

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Huda Ashiba, Kamal Awadalla, Said El-Halfawy, and Fathi Abd El-Samie, "Homomorphic Enhancement of Infrared Images Using the Additive Wavelet Transform," Progress In Electromagnetics Research C, Vol. 1, 123-130, 2008.
doi:10.2528/PIERC08012301

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