This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficients. Using Haar Wavelet based Multiresolution Analysis, the lowfrequency range (smoothed image) is used for the n-link and the highfrequency range (local texture features) is used for the t-link along with the color histogram. The proposed method can segment an obj...

This paper presents a method of compressing still images combining the powerful features of support vector machine (SVM) for machine learning with discrete wavelet transform (DWT) in image transformation. DWT, based on the ‘haar’ wavelet, has been used to transform the image and the coefficients acquired from DWT are then trained with SVM using Gaussian kernel. SVM has the property that it sele...

A registration method of remotely sensed image data which is base on the wavelet transform is proposed. The shape information of the regions in the images is analyzed by the Haar and Daubechies’wavelets. Comparing the coefficients of the wavelets and minimizing the mean square error (MSE) which is defined by the coefficients, the regions are matched and the images are registered. Affine transfo...

Previously, the use of non-separable wavelets in image processing has been hindered by the lack of a fast algorithm to perform a non-separable wavelet transform. We present two such algorithms in this paper. The rst algorithm implements a periodic wavelet transform for any valid wavelet lter sequence and dilation matrices satisfying a trace condition. We discuss some of the complicating issues ...

We present a novel eye localization method which can be used in face recognition applications. It is based on two SVM classifiers which localize the eyes at different resolution levels exploiting the Haar wavelet representation of the images. We present an extensive analysis of its performance on images of very different public databases, showing very good results. Mathematics Subject Classific...

Asymptotic expansions of the wavelet transform for large and small values of the translation parameter b are obtained using asymptotic expansions of the Fourier transforms of the function and the wavelet. Asymptotic expansions of Mexican hat wavelet transform, Morlet wavelet transform, and Haar wavelet transform are obtained as special cases. Asymptotic expansion of the wavelet transform has al...

In this paper, we derive Haar wavelet operational matrix of the fractional integration and use it to obtain eigenvalues of fractional Sturm-Liouville problem. The fractional derivative is described in the Caputo sense. The efficiency of the method is demo nstrated by examples MSC: 26A33

In this paper, we derive Haar wavelet operational matrix of the fractional integration and use it to obtain eigenvalues of fractional Sturm-Liouville problem. The fractional derivative is described in the Caputo sense. The efficiency of the method is demonstrated by examples MSC: 26A33

We present a method for precise eye localization that uses two Support Vector Machines trained on properly selected Haar wavelet coefficients. The evaluation of our technique on many standard databases exhibits very good performance. Furthermore, we study the strong correlation between the eye localization error and the face recognition rate.

A robust data hiding method is proposed. A generalized wavelet transform domain is used to design a private-key embedding scheme. Specifically, a binary mask is created in the Tree Structured Haar Transform (TSH) to select the most perceptually significant coefficients using leveladaptive thresholding. Experimental results show the effectiveness of the proposed approach.