Restoration of wavelet-compressed images

Mark A. Robertson

doi:10.1117/1.1867999

1 January 2005 Restoration of wavelet-compressed images

Mark A. Robertson

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 1, 013005 (January 2005). https://doi.org/10.1117/1.1867999

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.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mark A. Robertson "Restoration of wavelet-compressed images," Journal of Electronic Imaging 14(1), 013005 (1 January 2005). https://doi.org/10.1117/1.1867999

Published: 1 January 2005

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