Multiresolution wedgelet transform for image processing

Roger L. Claypoole Jr.; Richard G. Baraniuk

doi:10.1117/12.408609

4 December 2000 Multiresolution wedgelet transform for image processing

Roger L. Claypoole Jr., Richard G. Baraniuk

Proceedings Volume 4119, Wavelet Applications in Signal and Image Processing VIII; (2000) https://doi.org/10.1117/12.408609
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Edges in images convey a great deal of information, but wavelet transforms do not provide an economical representation. Thus, popular wavelet-based compression and restoration techniques perform poorly in the presence of edges. We present her a new multiresolution wedgelet transform based on the lifting construction. This transform provides an economical edge representation and thus offers the potential for improved image processing. We demonstrate this potential with applications in image denoising.

Citation Download Citation

Roger L. Claypoole Jr. and Richard G. Baraniuk "Multiresolution wedgelet transform for image processing", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408609

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