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Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models

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Title: Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models
Author: Odegard, Jan E.; Guo, Haitao; Burrus, C. Sidney; Baraniuk, Richard G.
Type: Conference Paper
Keywords: image compression
Citation: J. E. Odegard, H. Guo, C. S. Burrus and R. G. Baraniuk,"Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models," in Workshop on Image and Multidimensional Digital Signal Processing,, pp. 80-81.
Abstract: 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 wavelet transform domain and the zero-tree image model are natural for both compression and denoising. We illustrate the proposed scheme using fully polarimetric SAR images and a variety of compression ratios.
Date Published: 1996-03-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.