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Journal of Electronic Imaging

Restoration of wavelet-compressed images
Author(s): Mark A. Robertson
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Paper Abstract

We investigate the characteristics of compression noise in images compressed by scalar quantization of the data's wavelet transform coefficients. Such quantization noise is both experimentally and theoretically shown to be spatially varying in the pixel domain, with statistical correlations between the errors at the pixel locations. A quantization covariance matrix is presented that can find use in general restoration scenarios where the observed image or images have been compressed by scalar quantization of image wavelet coefficients. Deblurring is presented as an example use of the quantization model, which demonstrates the model's advantage over the common assumption of independent and identically distributed noise.

Paper Details

Date Published: 1 January 2005
PDF: 11 pages
J. Electron. Imaging. 14(1) 013005 doi: 10.1117/1.1867999
Published in: Journal of Electronic Imaging Volume 14, Issue 1
Show Author Affiliations
Mark A. Robertson, Air Force Research Lab. (United States)

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