Fractal Image Coding Combined with Discrete Cosine Transform Complement
Zhang Ai-hu · Computer Technology and Development · 2014
Fractal coding is a new image compression method based on fractal iterated function system. Although the method can achieve high compression,it will take long encoding time and the coding with high computational complexity. In view of these deficiencies for fractal compression method,and ensuring that under the high compression ratio make the image quality is obviously improved,combined with fractal image compression method based on discrete cosine transform approximation,by the regulation of gray-scale transformation, find the best father and mapping,make the mean square error is less than allowable error,to complete the coding process,so as to achieve the purpose of improving image quality and reducing the encoding time. Experimental results show that the presented approach improves the encoding speeds at the premise of guaranteeing the decoding image quality,and is better than the basic fractal coding method.