基于模糊逻辑的无损彩色图像压缩算法

Lossless Color Image Compression Method Based on Fuzzy Logic

在数字图像处理中,无损彩色图像压缩有着越来越广泛的应用。为了充分利用彩色图像色彩分量之间的相关性以及提高彩色图像的无损压缩率,本文提出一种基于模糊逻辑的无损彩色图像压缩算法。该算法将模糊逻辑和H.264帧内预测算法相结合,提出一种改进的帧内预测算法并运用到对彩色分量G的预测中;然后利用彩色分量之间的纹理相似性来降低R、B分量的纹理复杂度;再结合G分量的最优预测模式以及基于上下文统计的自适应补偿算法,对R、B分量进行帧内预测;最后,通过预测结果来确定最优参数,对3个彩色分量的预测差值进行Golomb编码。实验表明,与无损压缩算法JPEG-LS相比,该算法对纹理清晰的彩色图像的压缩率有较大的提高。

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.