Now showing items 1-24 of 24

  • Time Frequency Analysis Applications in Geophysics 

    Steeghs, Philippe; Baraniuk, Richard G.; Odegard, Jan E. (CRC Press, 2002-01-15)
    In this chapter, we overview a number of applications of time-frequency representations in seismic data processing, from the analysis of seismic sequences to efficient attribute extraction to 3-D attributes for volumetric data.
  • Instantaneous Frequency Estimation using the Reassignment method 

    Odegard, Jan E.; Baraniuk, Richard G.; Oehler, Kurt L (1998-01-15)
    This paper explores the method of reassignment for extracting instantaneous frequency attributes from seismic data. The reassignment method was first applied to the spectrogram by Kodera, Gendrin and de Villedary and later ...
  • Smooth biorthogonal wavelets for applications in image compression 

    Odegard, Jan E.; Burrus, C. Sidney (1996-09-20)
    In this paper we introduce a new family of smooth, symmetric biorthogonal wavelet basis. The new wavelets are a generalization of the Cohen, Daubechies and Feauveau (CDF) biorthogonal wavelet systems. Smoothness is controlled ...
  • New class of wavelets for signal approximation 

    Odegard, Jan E.; Burrus, C. Sidney (1996-05-20)
    This paper develops a new class of wavelets for which the classical Daubechies zero moment property has been relaxed. The advantages of relaxing higher order wavelet moment constraints is that within the framework of ...
  • Discrete finite variation: A new measure of smoothness for the design of wavelet basis 

    Odegard, Jan E.; Burrus, C. Sidney (1996-05-20)
    A new method for measuring and designing smooth wavelet basis which dispenses with the need for having a large number of zero moments of the wavelet is given. The method is based on minimizing the "discrete finite variation", ...
  • Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models 

    Odegard, Jan E.; Guo, Haitao; Burrus, C. Sidney; Baraniuk, Richard G. (1996-03-01)
    We propose a new method for speckle reduction in synthetic aperture radar (SAR) imagery based on the embedded zerotree image compression algorithm. This new approach to denoising is inspired by the realization that the ...
  • Simultaneous Speckle Reduction and Data Compression using Best Wavelet Packet Bases with Applications to SAR based ATD/R 

    Wei, Dong; Guo, Haitao; Odegard, Jan E.; Lang, Markus; Burrus, C. Sidney (1995-04-20)
    We propose a novel method for simultaneous speckle reduction and data compression based on shrinking, quantizing and coding the wavelet packet coefficients of the logarithmically transformed image. A fast algorithm is used ...
  • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

    Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-04-20)
    A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
  • Wavelet Based SAR Speckle Reduction and Image Compression 

    Odegard, Jan E.; Guo, Haitao; Lang, Markus; Burrus, C. Sidney; Wells, R.O.; Novak, L.M.; Hiett, M. (1995-04-01)
    This paper evaluates the performance of the recently published wavelet based algorithm for speckle reduction of SAR images. The original algorithm, based on the theory of wavelet thresholding due to Donoho and Johnstone, ...
  • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

    Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-03-20)
    A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
  • Noise Reduction Using an Undecimated Discrete Wavelet Transform 

    Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-01-15)
    A new nonlinear noise reduction method is presented that uses the discrete wavelet transform. Similar to Donoho and Johnstone, we employ thresholding in the wavelet transform domain but, following a suggestion by Coifman, ...
  • Wavelet Based SAR Speckle Reduction and Image Compression 

    Odegard, Jan E.; Guo, Haitao; Lang, Markus; Burrus, C. Sidney; Wells, R.O.; Novak, L.M.; Hiett, M. (1995-01-15)
    This paper evaluates the performance of the recently published wavelet based algorithm for speckle reduction of SAR images. The original algorithm, based on the theory of wavelet thresholding due to Donoho and Johnstone, ...
  • Wavelet Based Speckle Reduction with Applications to SAR based ATD/R 

    Guo, Haitao; Odegard, Jan E.; Lang, Markus; Gopinath, Ramesh A.; Selesnick, Ivan W.; Burrus, C. Sidney (1994-11-20)
    This paper introduces a novel speckle reduction method based on thresholding the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can sinificantly reduce the speckle ...
  • Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images 

    Gopinath, Ramesh A.; Lang, Markus; Guo, Haitao; Odegard, Jan E. (1994-11-01)
    In this paper we propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated witht he basis ...
  • Image enhancement by nonlinear wavelet processing 

    Odegard, Jan E. (1994-10-20)
    In this paper we describe how the theory of wavelet thresholding introduced by Donoho and Johnstone can successfully be applied to two distinct problems in image processing where traditional linear filtering techniques are ...
  • Constrained FIR Filter Design for 2-band Filter Banks and Orthonormal Wavelets 

    Markus, Lang; Selesnick, Ivan W.; Odegard, Jan E.; Burrus, C. Sidney (1994-10-20)
    2-band paraunitary FIR filter banks can be used to generate a multiresolution analysis with compactly supported orthonormal (ON) wavelets. The filter design problem is formulated and solved (a) as a constrained L<sub>Â â ...
  • Enhancement of Decompressed Images at Low Bit Rates 

    Gopinath, Ramesh A.; Lang, Markus; Guo, Haitao; Odegard, Jan E. (1994-07-20)
    Transform coding at low bit rates introduces artifacts associated with the basis functions of the transform. For example, decompressed images based on the DCT (discrete cosine transform)- like JPEG<sup>16</sup> - exhibit ...
  • Nonlinear Wavelet Processing for Enhancement of Images 

    Odegard, Jan E.; Lang, Markus; Guo, Haitao; Gopinath, Ramesh A.; Burrus, C. Sidney (1994-05-20)
    In this note we apply some recent results on nonlinear wavelet analysis to image processing. In particular we illustrate how the (soft) thresholding algorithm due to Donoho and Johnstone can successfully be used to remove ...
  • Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images 

    Gopinath, Ramesh A.; Lang, Markus; Guo, Haitao; Odegard, Jan E. (1994-01-15)
    In this paper we propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated witht he basis ...
  • Design of Linear Phase Cosine Modulated Filter Banks for Subband Image Compression 

    Odegard, Jan E.; Gopinath, Ramesh A.; Burrus, C. Sidney (1994-01-15)
    Wavelet methods give a flexible alternative to Fourier methods in non-stationary signal analysis. The concept of band-limitedness plays a fundamental role in Fourier analysis. Since wavelet theory replaces frequency with ...
  • Optimal wavelets for signal decomposition and the existence of scale limited signals 

    Odegard, Jan E.; Gopinath, Ramesh A.; Burrus, C. Sidney (1992-05-20)
    Wavelet methods give a flexible alternative to Fourier methods in non-stationary signal analysis. The concept of <i>band-limitedness</i> plays a fundamental role in Fourier analysis. Since wavelet theory replaces ...
  • On the Correlation Structure of Multiplicity M Scaling Functions and Wavelets 

    Gopinath, Ramesh A.; Odegard, Jan E.; Burrus, C. Sidney (1992-05-20)
    None
  • Optimal wavelets for signal decomposition and the existence of scale limited signals 

    Odegard, Jan E.; Gopinath, Ramesh A.; Burrus, C. Sidney (1992-01-15)
    Wavelet methods give a flexible alternative to Fourier methods in non-stationary signal analysis. The concept of <i>band-limitedness</i> plays a fundamental role in Fourier analysis. Since wavelet theory replaces ...
  • On the Correlation Structure of Multiplicity M Scaling Functions and Wavelets 

    Gopinath, Ramesh A.; Odegard, Jan E.; Burrus, C. Sidney (1992-01-15)
    In this paper we study the auto-correlation and cross-correlation structure of the scaling and wavelet functions associated with compactly supported orthonormal wavelet basis. These correlation structures play an important ...