Abstract: In digital image processing,lossless color image compression has increasingly wide range of applications.To take full advantage of the correlation between color components and improve lossless compression rate of color image,this paper proposed a lossless color image compression algorithm based on fuzzy logic.The algorithm combines fuzzy logic and H.264 intra prediction algorithm together,proposes an improved intra prediction algorithm which is used to predict color component of G.To reduce the texture complexity of R,B component,the author used the similarity of image texture between color components.Then,an algorithm that combining the optimal prediction mode of G component and adaptive compensation algorithm based on the context of statistics was used to predict color component of R and B.At last,the difference between the predictions for the three color components is encoded by Golomb coding in which the optimal parameter is calculated by predicted results.The experimental results show that when encoding these color images which have clear textures,the proposed method has significant improvement in coding efficiency compared with the JPEG-LS.

Key words: Lossless compression,Intra prediction,Texture complexity,Fuzzy logic,Golomb coding