Discrete Cosine Transform Image Compression Based on Genetic Algorithm

This paper presents a discrete cosine transform image compression method which is based on genetic algorithm. The discrete cosine transform image compression theory is analyzed. The optimal threshold of discrete cosine transform compress can be obtained by using of the method of GCV criteria based on genetic algorithm. In order to avoid the difficulty of confirming compression, threshold selection, crossover and random mutation are adopted. This algorithm can make compression more reasonable. Compared with other common image compression methods, the experimental results show that the presented method can improve the image compression effect.