Image compression using multiresolution morphological decomposition

Ching-Han Lance Hsu; C.-C. Jay Kuo

doi:10.1117/12.179214

30 June 1994 Image compression using multiresolution morphological decomposition

Ching-Han Lance Hsu, C.-C. Jay Kuo

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179214
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Multiresolution image decomposition based on nonlinear filtering has received a lot of attention recently. In this research, we investigate the coding issue for one class of nonlinear multiresolution image decomposition based on mathematical morphology. We consider the use of opening and closing operations with a flat structure element to achieve image decomposition. The entropy and histogram of the difference images in the image pyramid are then examined. We give a numerical example to demonstrate potential advantages of the morphological filtering approach over the conventional linear filtering approach in the context of image coding. However, we also point out difficulties encountered in our study that have to be overcome before the method can be practically used.

Citation Download Citation

Ching-Han Lance Hsu and C.-C. Jay Kuo "Image compression using multiresolution morphological decomposition", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179214

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