基于脊波变换和SPIHT算法相结合的图像压缩

Image Compression Based on Ridgelet Transform and SPIHT

脊波对线奇异性图像能够到达最优的逼近,它是比小波能更好的稀疏表示图像的工具.讨论了脊波变换后的系数之间的相关性.结合SPIHT编码算法设计出基于脊波变换的图像压缩算法.实验结果表明,该算法能够有效地提高压缩率,同时能保持较高的峰值信噪比和良好的重建图像视觉效果.

The ridgelet transform is the best approximation method for the image with linear singularity. It is more effective than the wavelet transform as a sparse expansion. The relativity between the coeffieients is discussed. And an algorithm for image compression based on ridgelet transform is designed. It effectively makes use of the modified SPIHT. The experiments results show that the proposed approach can achieve higher compression ratio and PSNR, as well as better visual result.