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This paper presents a watermarking algorithm based on fractal coding and wavelet transform. In this method, we adopt images which are self-similar to search for its Iterated Function System(IFS) as the watermark information, considering the robust against geometric transformations of fractal code. A chaos system is utilized to control the position of watermark embedded in the DWT domain, and then append the IFS coefficients to the wavelet decomposition coefficients. The approach proves rather efficient against many kinds of distortions.

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We present a new Image Indexing method and an implemented system to perform Content Based retrieval in heterogeneous Image Databases. The method is based on the Theory of Iterated Function Systems (IFS), already exploited for image compression, and it uses a training set of images to build the set of indexing features. The index structure is represented through a reduced vector of features on which we use R-Tree to efficiently access images in the database.