Multiresolution representation of images using the wavelet transform is a new approach for the analysis of image information content. The transform can be computed efficiently by a pyramidal algorithm based on convolution with quadrature mirror filters. The result is a set of subband images which co
Image processing in TEM using the wavelet transform
✍ Scribed by L.Beltrán del Río; A. Gómez; M. José-Yacamán
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 837 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0304-3991
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract An ultrasound‐device image‐reconstruction algorithm has been described previously that uses orthonomal wavelets as the basis of a transform space. The transform algorithms make it possible to analyze the reflected ultrasound signal from a sample to produce a map of one of its internal p
Many imaging devices have been constructed that use fourier transform techniques for image reconstruction as well as for image analysis. The basis functions in the fourier transform space are sinusoids. These are not localized. Therefore it should not be expected that highly localized behavior of a
## Abstract We propose a novel paradigm for cellular neural networks (CNNs), which enables the user to simultaneously calculate up to four subband images and to implement the integrated wavelet decomposition and a subsequent function into a single CNN. Two sets of experiments were designated to tes
One of the reasons why pitch extraction from speech has been difficult is that pitch is nonstationary and changes over a wide range. In most of the conventional methods, it is assumed that speech remains stationary in an analysis frame of fixed width. This essentially produces an extraction error. I