A novel interactive web application for multi focus and multi sensor image fusion is presented in this paper. Basic averaging, Laplacian pyramid, discrete wavelet transform, block-based fusion, spatial domain multi focus image fusion and optimized region based image fusion methods are also included. Users can explore several image fusion methods and compare these methods easily and efficiently ...

The wavelet transform is a comparatively new and fast developing method for analysing signals. The main advantage of applying the wavelet transform to the detection of edges in an image is the possibility of choosing the size of the details that will be detected. The size of detected edges is set by the wavelet scale. In the case of the discrete wavelet transform the choice of the scale is perf...

In this paper, a watermark hiding scheme based on Visual Cryptography and Discrete Wavelet Transform is proposed. The proposed method modifies the codebook of related works, and utilizes statistical average to offer better security. The proposed method also reduces the size of the codebook and probability of false positives when compared to the existing works. Experimental results prove that th...

In this paper, a technique for detecting faults in underground distribution system is presented. Discrete Wavelet Transform (DWT) based on traveling wave is employed in order to detect the high frequency components and to identify fault locations in the underground distribution system. The first peak time obtained from the faulty bus is employed for calculating the distance of fault from sendin...

This paper describes the application of the wavelets used to detect the abrupt changes in the signals recorded during disturbances in the electrical power network in South Africa. Main focus has been to estimate exactly the timeinstants of the changes in the signal model parameters during the pre-fault condition and following events like initiation of fault, circuit-breaker opening, auto-reclos...

In the study, we discussed the generalized autoregressive conditional heteroskedasticity model and enhanced it with wavelet transform to evaluate the daily returns for 1/4/2002-30/12/2011 period in Brent oil market. We proposed discrete wavelet transform generalized autoregressive conditional heteroskedasticity model to increase the forecasting performance of the generalized autoregressive cond...

The performance of majority of algorithms employed for fingerprint identification is strongly affected by the accuracy of detection of core-point. Unintentional finger rotation during acquisition process inspite of mounting a finger "guide" on the sensor results in rotation of fingerprint images. In order to tackle this rotational variance a Discrete Wavelet Transform (DWT) based appr...

The aim of this study is to employ the wavelet technique for the diagnosis of open-circuit and short circuit faults in the dc link of induction motor drive. The symlet wavelet is selected as the wavelet base to perform stator current analysis during faults. In this method, the stator currents are used as an input to the system. The MATLAB software is used to process discrete wavelet transform (...

We propose a method for coding of segmented images based on shape adaptive wavelet transform approach. Wavelet transform is computed directly on particular image segments without extension outside the boundaries. We adapted the transform method from [1], where it was used for compression of image segments but less effective zero tree coding was involved. Though used approach does not yet outper...

This article presents a method of semi-blind watermarking based on the discrete wavelet transform, that uses the chrominance components of the image for watermark embedding. The watermark is resistant to usual image processing operations such as compression, noise addition, cropping, histogram adjustment and filtering. Keywords—watermarking;discrete wavelet transform