Fractal image compressing method using adaptive image classification

摘要

For dividing the image into a size of a basic block, and a uniform block by performing the DCT on each block, the middle block, step, and a regular block and the intermediate block to divide the boundary block while performing the coding by dividing into four station block Monroe aelgo rhythms If and the bath comprises: obtaining a measure of the fractal transform equation, and finding a station block matched by the search in accordance with the type of the edge when the boundary block, failed to match, after performing the local search by the DCT coefficients back matching failed back to the step, and a matching to attempt if the made, including the step of dividing the encoding block by a quad-tree partition method, and then the input image using the DCT classified according to the frequency characteristics in the frequency domain, adaptive image using a classification and that can be processed to obtain a fast coding processing is possible, while good image quality, adaptive image It provides a fractal image coding method according to the flow.