An improved method on texture coding, which is a part of the region growing based image coding, is presented in this thesis. The proposed method uses the studies on the segmentation by texture and on the texture synthesis because texture is related to human visual perception and has a subjective component as well. The Proposed method consists of two steps. In the first step, an image is segmented into stochastic regions which can be described as a stochastic random field, and non-stochastic ones in order to efficiently represent texture. In the texture coding and reconstruction, an autoregressive model is used for the stochastic regions, while a two dimensional polynomial approximation is used for the non-stochastic ones.
This proposed method leads to a better subjective quality, relatively higher compression ratio and shorter time for coding and reconstructing than the conventional method which uses only two dimensional polynomial approximation.
