Conventional implementation of multi-dimensional wavelet transform (e.g. 3-D wavelet) requires whether a high amount of "in access" memory or a continual access to slow memory of a processor which makes it infeasible for most applications. In this paper, we proposed a novel algorithm for computation of an n-D discrete wavelet transform (DWT) based on lifting scheme. In addition to benefits of l...

In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical application. Many recent events, such as terrorist attacks, have exposed the serious weaknesses in most sophisticated security systems. Automatic face recognition has long been established as one of the most active research areas in c...

One of the most important optical signal processing operations is the optical Fourier transform (OFT). Of the arrangements for implementation of the OFT, perhaps the most flexible is that for the scaled optical Fourier transform (SOFT), as it allows control over the scale of the output Fourier transform distribution. By means of an analysis in cylindrical coordinates, we examine some of the pra...

The improved quality and dense sampling of 3-D seismic data has greatly increased the e ectiveness of attribute analysis for seismic interpretation. The availability of seismic attribute images and cubes can greatly facilitate the interpretation of large and complex data volumes. Many seismic attributes that are currently in use are based on parameters that bring forward changes of signal chara...

One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. Face recognition has application in, for instance, forensic science and security. A face recognition algorithm, to be useful in real applications, must discriminate in between individuals, process data in realtime and ...

A routine dose computation around brachytherapy seeds employing the Fast Fourier Transform (FFT) has been demonstrated and likened to dose computations in a similar field based on the TG43 recommendations. In applying the FFT convolution model to dose computation, a dose convolution kernel which takes into consideration the anisotropy of the dose distribution around a brachytherapy source in th...

The problem of reconstructing a positive semi-definite 3-D image from the measurement of the magnitude of its 2-D fourier transform at a series of orientations is explored. The phase of the fourier transform is not measured. The algorithm developed here utilizes a Hamiltonian, or cost function, that at its minimum provides the solution to the stated problem. The energy function includes both da...

In order to cope with the enormous amount of 3-D Spatio-Temporal Image data we have proposed a method to transform 3-D Spatio-Temporal Image into 2-D Spatio-Temporal Images to reduce processing time for 3-D information acquisition. In this paper, we will extend the camera motion to enhance our previous method for building 3-D information acquisition from urban street images. The creation of 2-D...

The Lapped Orthogonal Transform (LOT) [1][3] is a new transform for block image coding. It has basis functions that overlap adjacent blocks and decay smoothly to zero, and so it can reduce the blocking effect to very low levels, without any data overhead. In t'his paper we show that a quasi-optimal LOT can be computed with an algorithm based on the discrete cosine transform (DCT), with only 30 ...