Recognizing objects that have undergone certain viewing transformations is an important problem in the field of computer vision. Most current research has focused almost exclusively on single aspects of the problem, concentrating on a few geometric transformations and distortions. Probably, the most important one is the affine transformation which may be considered as an approximation to perspe...

This paper proposes a denoising method for accuracy enhancement of 3D (three dimensional) reconstruction process by shadow moiré. The proposed denoising method based on undecimated wavelet transform (UWT) effectively eliminates noise and grating pattern while retaining useful information. The proposed shadow moiré method is compared with structured lighting method which is a common method for 3...

In this paper we present the building blocks of a general multiresolution algorithm for object detection. The proposed algorithm is based on the decomposition of images using undecimated wavelet packet trees. It exploits adaptation both in the selection of best bases and in selection of a suitable threshold for the chosen features. The entropy measure has been used for best basis selection, and...

A new algorithm for narrowband interference suppression in direct-sequence spread spectrum (DS-SS) communications is presented. The algorithm combines the undecimated wavelet packet transform with frequency shifts to confine the interference energy in a subband that is subsequently eliminated. Computer simulation shows a robust performance that appears to be independent of the interference freq...

introduction: one of the major problems in the development of nuclear medicine images is the presence of noise. the noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a fourier transform environment. the main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...

This paper considers the design of wavelet tight frames based on iterated oversampled lter banks. The greater design freedom available makes possible the construction of wavelets with a high degree of smoothness, in comparison with orthonormal wavelet bases. Grr obner bases are used to obtain the solutions to the nonlinear design equations. Following the dual-tree DWT of Kingsbury, one goal is ...

Invertible wavelet transforms that map integers to integers are important for lossless representations. In this paper, we present an approach to build integer to integer wavelet transforms based upon the idea of factoring wavelet transforms into lifting steps. This allows the construction of an integer version of every wavelet transform. We demonstrate the use of these transforms in lossless im...