Représentation multirésolution et compression d'images : ondelettes et codage scalaire et vectoriel

Abstract : Wavelet pyramidal is a new form of image representation. Its coding scheme allows a new method of image data compression. This technical may well supplant the well established block-transform methods which have been state of art for these last years. In a suitable purpose, this work is achieved in three parts. The first part provides theorical and historical synthesis of multiresolution representation which converge into Wavelets pyramidal representation of images. The second part investigate scalar point of view of different pyramid components : statistical characteristics, coding scheme with scalar quantization or with dead-zone, related to optimal bit allocation whether analytical or algorithmic. Finally, the third part deals with vector coding scheme. The pyramid is then dispatched into elementary entities which are performed on a hierarchical vector tree as which we applied an hybrid coding based on QS and QV. This structure allows local directivity and frequency activity description in image, and then an introduction to the notion of activity classification. To extend the validity of the elaborated encoder, extensions to colours images and images sequences was presented too
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Az-Eddine Rafaa. Représentation multirésolution et compression d'images : ondelettes et codage scalaire et vectoriel. Autre. Université Paul Verlaine - Metz, 1994. Français. ⟨NNT : 1994METZ047S⟩. ⟨tel-01776720⟩

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