The introduction of wavelets in signal and imageprocessing has provided a new tool to create innovative and novel methods for solving problems in the areas of data compression, signal analysis, and noise removal, to ...
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ISBN:
(纸本)081942840X
The introduction of wavelets in signal and imageprocessing has provided a new tool to create innovative and novel methods for solving problems in the areas of data compression, signal analysis, and noise removal, to name a few. Although wavelets are popular and used extensively in research and in engineering applications, their use in signature detection and classification is still an area open to extensive investigation. This paper discusses waveletimageprocessing working in synergy with other processing techniques to detect and recognize abnormal and cueing signatures that are important to diagnostic medicine - detection and recognition of microcalcification clusters in mammograms. In this application, an innovative detection algorithm that takes advantage of wavelet multiresolution analysis and synthesis is developed to assist radiologists looking for clusters of microcalcifications in digitized mammograms. Microcalcification regions may not be detectable by visual inspection or other detection techniques because of their inherent complexity. The algorithm presented in this paper successfully unmasks the complexity and limits the false positives. A thorough analysis, algorithm description and examples are shown in this paper.
This paper proposes a method which utilizes invariant wavelet features for correcting total occlusion in video surveillance applications. The proposed method extracts invariant wavelet features from the pre-occlusion ...
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ISBN:
(纸本)9781424414369
This paper proposes a method which utilizes invariant wavelet features for correcting total occlusion in video surveillance applications. The proposed method extracts invariant wavelet features from the pre-occlusion spatial image of disappearing objects. When new objects are detected during occlusion, their extracted invariant wavelet features are compared to those of lost objects to check for reappearance. When reappearance occurs, the proposed method rebuilds the correct correspondence map between pre-occlusion and post occlusion objects to continue to track the ones that were lost during total occlusion. Our results show that the proposed method is more robust than referenced methods especially when objects change or reverse their motion direction during occlusion.
A new scheme to search perceptually significant wavelet coefficients for effective digital watermark casting is proposed in this research, An adaptive method is developed to determine significant subbands and select a...
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ISBN:
(纸本)0819429155
A new scheme to search perceptually significant wavelet coefficients for effective digital watermark casting is proposed in this research, An adaptive method is developed to determine significant subbands and select a number of significant coefficients in these subbands. Experimental results show that the cast watermark can be successfully retrieved after various attacks including signalprocessing, geometric processing, noise adding, JPEG and wavelet-based compression methods.
An image compression method based on wavelet transforms and the human visual system (HVS) is presented in this paper. In the proposed method, we emphasize on the issue of designing a quantizer for wavelet transform co...
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Orthogonal, semiorthogonal and biorthogonal wavelet bases are special cases of oblique multiwavelet bases. One of the advantage of oblique multiwavelets is the flexibility they provide for constructing bases with cert...
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ISBN:
(纸本)0819422134
Orthogonal, semiorthogonal and biorthogonal wavelet bases are special cases of oblique multiwavelet bases. One of the advantage of oblique multiwavelets is the flexibility they provide for constructing bases with certain desired shapes and/or properties. The decomposition of a signal in terms of oblique wavelet bases is still a perfect reconstruction filter bank. In this paper, we present several examples that show the similarity and differences between the oblique and other types of wavelet bases. We start with the Haar multiresolution to illustrate several examples of oblique wavelet bases, and then use the Cohen-Daubechies-Plonka multiscaling function to construct several oblique multiwavelets.
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Today, fingerprint has a wide field of use in several areas of biometric s...
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ISBN:
(纸本)9781467373869
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Today, fingerprint has a wide field of use in several areas of biometric system. It is especially used in human identification and verification, which is more reliable than the traditional methods used for access. In this work, Gabor wavelet Transform based fingerprint recognition system has been realized. The wavelet features are extracted from the gray-scale fingerprint image. Finally, the k nearest neighbor classifier is used for the recognition of fingerprint images. The proposed algorithm is tested on images from PolyU high resolution fingerprint database. Experimental results have shown that the proposed method can improve the accuracy of existing methods.
Recent advances in conditional event algebra and random set modeling hold the promise of enabling a systematic and consistent approach to information fusion in the context of statistical signalprocessing. In this pap...
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ISBN:
(纸本)081943194X
Recent advances in conditional event algebra and random set modeling hold the promise of enabling a systematic and consistent approach to information fusion in the context of statistical signalprocessing. In this paper we consider three potential applications of this approach: (1) iterated image estimation;(2) prior models for medical image reconstruction;and (3) knowledge-aided modeling of complex systems.
The objective of this paper is to investigate and provide insight into wavelet-based higher-order time-scale analysis, with an emphasis on the third-order statistic, the bispectrum. We also use a wavelet-based higher-...
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ISBN:
(纸本)0819422134
The objective of this paper is to investigate and provide insight into wavelet-based higher-order time-scale analysis, with an emphasis on the third-order statistic, the bispectrum. We also use a wavelet-based higher-order time- scale approach to detect and quantify intermittent phase- locking of first- and second-order components in laboratory generated random sea waves.
The accuracy of the wavelet approximation at resolution h equals 2-n to a smooth function f is limited by O(hn), where N is the number of vanishing moments of the mother wavelet (psi) . For any positive integer p, we ...
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ISBN:
(纸本)0819422134
The accuracy of the wavelet approximation at resolution h equals 2-n to a smooth function f is limited by O(hn), where N is the number of vanishing moments of the mother wavelet (psi) . For any positive integer p, we derive basis functions which allow us to recover a smooth f from its wavelet coefficients with accuracy O(hp). Related formulas for recovering derivatives of f are also given.
The performance of wavelet compression algorithms is generally judged solely as a function of the compression ratio and the vidual artifacts which are perceivable in the reconstructed image. The problem then becomes o...
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ISBN:
(纸本)0819422134
The performance of wavelet compression algorithms is generally judged solely as a function of the compression ratio and the vidual artifacts which are perceivable in the reconstructed image. The problem then becomes one of obtaining the best compression with fewest visible artifacts--a very subjective measure. Our wavelet compression algorithm uses an information theoretic analysis for the design of the compression maps. We have previously shown that maximizing the information for a given visual communication channel also maximizes the visual quality of the restored image. We utilize this to design quantization maps which maximize information for a given compression ratio. Hence we are able to design quantization maps which maximize the restorability of an image--i.e. the information content, the image quality, and the mean-square difference fidelity--for a given compression ratio.
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