Open AccessHOMOMORPHIC ENHANCEMENT OF INFRARED IMAGES USING THE ADDITIVE WAVELET TRANSFORM
Author(s) -
H. I. Ashiba,
K. H. Awadalla,
Said Mohammad El-Halfawy,
Fathi E. Abd ElSamie
Publication year - 2008
Publication title -
progress in electromagnetics research c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 34
ISSN - 1937-8718
DOI - 10.2528/pierc08012301
Subject(s) - homomorphic filtering , infrared , artificial intelligence , wavelet transform , homomorphic encryption , computer vision , wavelet , computer science , discrete wavelet transform , pattern recognition (psychology) , materials science , image enhancement , image (mathematics) , physics , optics , computer security , encryption
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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