Image Data Compression By Contour Texture Modelling

Michel Kocher; Murat Kunt

doi:10.1117/12.935290

26 October 1983 Image Data Compression By Contour Texture Modelling

Michel Kocher, Murat Kunt

Proceedings Volume 0397, Applications of Digital Image Processing V; (1983) https://doi.org/10.1117/12.935290
Event: 1983 International Technical Conference/Europe, 1983, Geneva, Switzerland

Abstract

An image coding technique, based on a simplified description of regions composing the image, is presented. Each region of the image is made of the maximum number of adjacent picture elements (pels) whose grey level evolution contains no sharp discontinuities. The pels within the regions provide the texture information whereas the region boundary points represent the contour information. Image coding is carried out by approximating the contour information and the texture information in each region. This is done by using different global analytical functions for each component. This adaptive image coding scheme leads to compression ratios greater than 50 to 1.1

Citation Download Citation

Michel Kocher and Murat Kunt "Image Data Compression By Contour Texture Modelling", Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); https://doi.org/10.1117/12.935290

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