This paper studies 2D and 3D wavelet domain medical image resolution enhancement method. The proposed approach is based on the interpolation of the low resolution input image and the derived high frequency sub-band images obtained using Discrete Wavelet Transform (DWT). Experimental results on both 2D and 3D images show how our method enhances the image’s details and preserves edges.

This paper presents a new algorithm for a 2D non-separable lifted bi-orthogonal wavelet transform. The algorithm is derived by factoring complementary pairs of wavelet transform 2D filters. The results are efficient architectures for real time signal processing, which do not require transpose memory for the 2D processing of data. The proposed architecture exploits in place implementation, inher...

In this paper, the design and implementation of an optimized hardware architecture in terms of speed and memory requirements for computing the tile-based 2D forward discrete wavelet transform for the JPEG2000 image compression standard, are described. The proposed architecture is based on a well-known architecture template for calculating the 2D forward discrete wavelet transform. This architec...

In the paper, the possibility of detection the hidden defects or damage applying the models of dynamic (active) infrared thermography and the 2D discrete wavelet transform of data measured in thermal processes has been described. The possibility to examine the defects of the material structure with the discrete wavelet transform (DWT) of the spatial function registering the disturbance underwen...

In this paper, we propose an object recognition method for 2D objects using wavelet descriptors. The descriptors are derived from the continuous wavelet transform using the Mexican hat function as mother wavelet. In contrast to the other known methods we apply an angle function to describe object contours extracted as polygons. The contour extraction is based on the object oriented contour extr...

This paper introduces the energy compaction efficiency of a novel two-dimensional (2D) representation for compression of recorded power uality event data. The 2D representation enables to exploit redundancy across vertical samples that correspond to samples which are far from ach other in time. In one-dimension (1D), compression algorithms are unable to depict the correlation between such far a...

Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non-separable wavelet transforms or by using restrictive designs to obtain a pair of wavelet trees with a transform-domain redundancy of 4.0 in 2D. In this paper, we demonstrate that excellent shift-invariance properties ...

Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non-separable wavelet transforms or by using restrictive designs to obtain a pair of wavelet trees with a transform-domain redundancy of 4.0 in 2D. In this paper, we demonstrate that excellent shift-invariance properties ...

2D convolution and 2D transforms, such as wavelet transform and discrete cosine transform (DCT), are widely used in image and video processing. To reduce the computation complexity, these algorithms are often implemented in two separable passes of 1D processing (e.g., row-wise processing followed by column-wise processing). For example, the number of multiplications of a direct N x N 2D DCT is ...

SAR images are different from optical images in many ways. Therefore, the traditional compression methods, which have been used for compression, are not so efficient for the compression of the SAR images. Generally, 2-dimensional Fourier transform (2D-FT) is used for representing a complex SAR image. But the energy of the coefficients of 2D-FT on the complex SAR image distributes in the whole f...