分形图像编码的改进算法

分形图像编码是一种基于自然图像局部自相似性的有效压缩技术。通过引入一个可以影响解码图像质量和编码时间的控制参数，该文提出了分形图像编码的一种改进方案。该方案既不需要复杂的理论分析，也不需要改变现有的分形解码过程，因此能够以直接的方式融入其它的分形图像编码算法。计算机仿真显示，对一组复杂性不同的测试图像，以PSNR(peak signal-to-noise ratio)度量的解码图像质量优于对应的分形图像编码算法的解码图像质量，同时编码时间也大幅度减少。

Improved Algorithm for Fractal Image Encoding

Fractal image coding is an efficient image compression technique based on the local self-similarities within real world images. This paper proposed an improved scheme for fractal image coding by introducing a control parameter that can affect the decoded image quality as well as encoding speed. The improved scheme not only does not need any complex theoretical analysis, but also does not need to change the existing fractal decoding procedure; thus it can be employed by the other fractal image encoding algorithms in a straightforward manner. Computer simulations on a set of test images with different complexities demonstrate that the decoded image qualities measured by the peak signal-to-noise ratio (PSNR) are better than that using the corresponding fractal image encoding while the encoding time is considerably reduced.