ON THE ALGORITHM OF FRACTAL IMAGE CODING BASED ON FIXED CODEBOOK
Yuan Zong-we · Journal of Chaohu College · 2015
The traditional fractal image coding is based on the self-similarity across different scales of the image inside, solves the compression affine transformation and completes the image coding. The codebook from the image itself is not necessarily the best, and the encoding time is usually longer. According to the existence of similarities between the images, we construct an adaptable codebook in which the best matching block can only be searched for by the range block of any image fractal coding,and isometric transformation is omitted. In addition, there is no need to iterate the decoded image. Experimental results show that in the case of a slight decrease in image quality, the algorithm has better performance than basic fractal image coding and improves the encoding and decoding speed, and the algorithm is simple and easy to implement. If the fixed codebook improves through a better adaptation, it will enhance the quality of the decoded image.