无链表SPIHT图像提升小波编码的硬件算法
Listless SPIHT Image Coding Hardware Algorithm Based on LiftingW avelet
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摘要: 为了解决小波零树编码算法中, SPIHT(分级树的集合分裂)算法占用大量存储空间的问题,给出了一种 无链表SPIHT图像压缩算法.在这种算法中,小波系数按照SPIHT的顺序输入到编码器中,编码器按照NLS算 法编码,小波变换采用9/7提升分解算法,量化算法为均匀标量量化,图像边界延拓采用了补零延拓方法.实验 结果表明,该算法图像压缩比与JPEG2000的EBCOT(基于优化截断的嵌入式块编码)算法几乎相同,编码速度 大约是后者的2倍,一幅512×512的图像仅需要17. 875 KB额外内存.Abstract: To overcome the shortcoming ofwavelet zero-tree coding algorithms,i. e., the hardware implementation ofSPIHT (setpartitioning in hierarchical trees) algorithm needs toomanymemories, a listless SPIHT algorithm wasproposed. In this algorithm, waveletcoefficients are input into an encoder in the SPIHT order, and then they are coded by using the NLS (no list SPIHT) algorithm. In addition, the 9/7 lifting schemes and uniform quantization are employed, and the adding zeromethod is applied forborder extension of images. The experimental results show that the compression ratio of the proposed algorithm is almostthe same as thatof theEBCOT(embedded block codingwith optimized truncation) algorithm of JPEG2000, but its running speed is two times that of the EBCOT algorithm. Furthermore, the proposed algorithm needs fewermemories, such as only an additional 17. 875 KB memory for a 512×512 image.
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