Spatial correlation thresholding-based edge-preserving image restoration

Paul Bao; Lei Zhang

doi:10.1117/12.454167

28 January 2002 Spatial correlation thresholding-based edge-preserving image restoration

Paul Bao, Lei Zhang

Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454167
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

It is of great importance in image restoration to remove noise while preserving and enhancing edges. This paper presents a spatial correlation thresholding scheme for image restoration. The dyadic wavelet transform that acts as a Canny edge detector is employed here to characterize the significant structures, which would be strongly correlated along the wavelet scales. A correlation function is defined as the multiplication of two adjacent wavelet subbands with a translation to maximize the mathematical expectation. In the correlation function, edge structures are more discriminable because they are amplified while noise being diluted. Unlike most of the traditional schemes that threshold directly the wavelet coefficients, the proposed scheme applies thresholding on the correlation function to better preserve edges while suppressing noise. A robust threshold is presented and the experiment shows that the proposed scheme outperforms the traditional thresholding schemes not only in SNR comparison but also in the edge preservation.

Citation Download Citation

Paul Bao and Lei Zhang "Spatial correlation thresholding-based edge-preserving image restoration", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454167

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