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针对渐进式图像传输算法都受限于庞大的内存空间和计算复杂度,提出一种基于SPIHT的改进型算法——静止图像编码方法,即对变换后的小波系数高频区块进行细分,并对不同频率图像块分别设置阈值,采取新的阈值判别策略,减少了链表的结点数。使用MATLAB 6.5开发环境对上述改进编码方法进行仿真。仿真结果表明:通过对原算法构架进行改进,减少了内存空间占用,降低了计算复杂度,取得了较好的压缩效果。
For the progressive image transfer algorithm are limited by the huge memory space and computational complexity, this paper proposes an improved algorithm based on SPIHT - still image encoding method, that is, the transformed wavelet coefficients of high-frequency block subdivision, And set thresholds for different frequency image blocks respectively, and adopt a new threshold decision strategy to reduce the number of nodes in the linked list. Using the MATLAB 6.5 development environment to simulate the above improved coding method. Simulation results show that: by improving the original algorithm architecture, reducing the memory footprint, reducing the computational complexity, and achieved better compression.