传统分形图像解码非常快，过程难以控制。特殊应用场合如视频特效、动画制作可能需要渐进的图像解码过程。有学者在压缩映射中引入控制参数可以减慢分形解码过程，但没有建立起控制参数与解码图像序列峰值信噪比之间的关系。提出基于峰值信噪比的分形图像解码算法，实现了解码过程可以按照设计好的峰值信噪比序列进行解码，为需要更为灵活多样的图像解码应用场合提供选择。

Traditional fractal image decoding is very fast, and the process is difficult to control. Special applications such as video effects and animation may require a gradual image decoding process. Some scholars have introduced control parameters into compression mapping to slow down the fractal decoding process, but the relationship between control parameters and the peak signal-to-noise ratio (PSNR) of decoded image sequences has not been established. In this paper, a fractal image decoding algorithm based on peak signal-to-noise ratio is proposed, which realizes that the decoding process can be conducted according to the designed peak signal-to-noise ratio sequence, providing options for diverse image decoding applications.