Hierarchical Image Decomposition And Filtering Using The S-Transform

Surendra Ranganath; Hartwig Blume

doi:10.1117/12.968716

27 June 1988 Hierarchical Image Decomposition And Filtering Using The S-Transform

Surendra Ranganath, Hartwig Blume

Proceedings Volume 0914, Medical Imaging II; (1988) https://doi.org/10.1117/12.968716
Event: Medical Imaging II, 1988, Newport Beach, CA, United States

Abstract

Image Transforms, such as the S-Transform, provide a hierarchical representation of the image which is attractive as part of a data compression technique in a PACS environment. In this paper, the S-Transform is shown to be a special case of subband coding, thus characterizing the spectral behavior of the transform. The S-Transform decomposes the frequency plane into roughly octave spaced regions. The corresponding "octave" images in the spatial domain can be linearly combined with different weights in order to synthesize an enhanced image. This is a computationally efficient process which provides a great deal of flexibility in the specification of the enhancement MTF characteristic. Examples are shown of enhanced computed radiographs, comparing the results of our technique and unsharp masking.

Citation Download Citation

Surendra Ranganath and Hartwig Blume "Hierarchical Image Decomposition And Filtering Using The S-Transform", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968716

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