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Gabor Wavelet Transform in Image Compression

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Abstract

In the present paper, an importantmathematical transform which is calledGabor transform be used to develop amethod for image compression. Gabortransform is a type of wavelet-basedtransform. It is embedded in the standardcompression algorithm (JPEG2000) as amother wavelet. Based on the obtainedresults we believe that Gabor wavelettransform can provide the optimal resolutionin both the time and frequency domains, aswell as it seems to be the optimal basis toextract local features such as discontinuities.These advantages of Gabor wavelettransform make it an efficient transform forcompression. The proposed compressionsystem is a new approach that achieves ahigh compression ratio with acceptablevisual quality by exploiting the advantagesof Gabor wavelets .The simulation resultsshow that the proposed model gives a goodcompression images that could becompetitive to JPEG2000 using Haarwavelet.


Article
Neuro Fuzzy Network and Wavelet Gabor For Face Detection

Author: Raidah Salim
Journal: Journal of Kufa for Mathematics and Computer مجلة الكوفة للرياضيات والحاسوب ISSN: 11712076 Year: 2013 Volume: 1 Issue: 8 Pages: 48-57
Publisher: University of Kufa جامعة الكوفة

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Abstract

This paper presents a face detection technique based on two techniques: wavelet Gabor filter for extract features from the localized facial image and neuro fuzzy system used as classifier depending on the features that extract , where it is used to determine the faces in the input image by draw boxes around the faces. The neurofuzzy network will be train on 128 image (69 face and 59 non face, size of each image 16*27 pixel in gray scale , this mean it trained to choose between two classes “face” and “non-face” images. Our approach has been tested on eight common images with different face number in image and different number of fuzzy set. We got the best detection rate is 89.3% in case threshold equal 0.2 and in case number of fuzzy set equal 2. The stages of this work are implemented in MATLAB 7.0 environment.

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