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Restoration of wavelet-compressed images

[+] Author Affiliations
Mark A. Robertson

Information Directorate/IFEC, 525 Brooks Rd., Rome, New York 13441-4505 E-mail: Mark.Robertson@rl.af.mil

J. Electron. Imaging. 14(1), 013005 (Mar. 17, 2005). doi:10.1117/1.1867999
History: Received Jun. 3, 2003; Revised Dec. 10, 2003; Accepted Apr. 20, 2004; Mar. 17, 2005; Online March 17, 2005
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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. © 2005 SPIE and IS&T.

© 2005 SPIE and IS&T

Citation

Mark A. Robertson
"Restoration of wavelet-compressed images", J. Electron. Imaging. 14(1), 013005 (Mar. 17, 2005). ; http://dx.doi.org/10.1117/1.1867999


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