Abstract

ii This thesis is concerned with example based image processing. Example based image pro-cessing is a general term for any class of image processing operation where the manipulation and analysis of the image in question is guided by some set of example images. This thesis focuses on two applications, texture synthesis and image segmentation, in which example based image processing is proposed. Given an example texture, the goal of a successful texture synthesis algorithm is to generate new texture which is perceptually similar to the sample texture. One of the main challenges in this process is the modelling of the example texture. Previous work has shown that those algorithms based on implicit modelling are more successful than those based on the more rigid explicit models. Based on this observation a new texture synthesis algorithm is developed which combines the strength of the implicit modelling technique with wavelet based image analysis. The Dual-Tree Complex Wavelet Transform used in this work has associated with it good directional selectivity and shift invariance. Both of these properties make it well suited

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