1 Abstract The memory required for the implementation of the 2D wavelet transform typically incurs relatively high power consumption and limits the speed performances. In this paper we propose an optimized architecture of the 1D/2D wavelet transform, that reduces the memory size cost with one order of magnitude compared to classical implementation styles. This so-called Local Wavelet Transform ...

Classification of breast tumors via dynamic contrast-enhanced magnetic resonance imaging is an important task for tumor diagnosis. In this paper, we present an approach for automatic tumor segmentation, feature generation and classification. We apply fuzzy c-means on co-occurrence texture features to generate discriminative features for classification. High-frequency information is removed via ...

In this paper, formulas relating the Radon transform and Radon transform inversion to various wavelet and multiscale transformations, including the continuous wavelet transform, the semi{continuous wavelet transform of Mallat, steerable multiscale lters of Freeman and Adelson, and separable orthogonal and non{orthogonal wavelet bases, are given. The use of wavelets as a valuable tool in the loc...

Endurance Time Acceleration Functions are specially predesigned intensifying excitation functions that their amplitude increases with time. On the other hand, wavelet transform is a mathematical tool that indicates time variations of frequency in a signal. In this paper, an approach is presented for generating endurance time acceleration functions (ETAFs) whose response spectrum is compatible w...

in the current iris recognition systems, noise removing step is only used to detect noisy parts of the iris region and features extracted from there will be excluded in matching step. whereas depending on the filter structure used in feature extraction, the noisy parts may influence relevant features. to the best of our knowledge, the effect of noise factors on feature extraction has not been c...

In this paper we put forward an image fusion algorithm based on Wavelet Transform, Second Generation Curvelet Transform and Nonsubsampled Contourlet Transform. Here we analyze the characteristics of NSCT along with Wavelet and Curvelet Transform for simulation experiments on multi-focus images. Here it includes multiresolution analysis ability in wavelet transform, also has better direction abi...