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图像无损压缩算法的DSP实现及优化

SP Implementation and Optimization of Image Lossless Compression Arithmetic

中文摘要英文摘要

随着数字图像通信技术的发展,大量图像数据的存储和传输,极大地制约了图像通信的发展,并成为图像通信领域中的“瓶颈”问题。本文基于经典的Huffman编码算法,针对其数据编码速度和解码速度都比较慢的缺点,给出了一种基于快速Huffman压缩、解压缩的图像无损压缩算法。这样,只需增加少量的存储码表空间就可以实现快速查找,比传统方式节省了大量的判断时间。接着在TI的DSP集成开发环境CCS的软仿真环境下实现了该算法,并针对硬件平台特点进行了程序优化,对比较耗时的关键代码段编写线性汇编程序进行进一步优化。最后,使用CCS的代码剖析工具profiler对代码进行剖析,结果表明,该方法在嵌入式平台上的压缩和解压缩所需的时间均达到了预期的目标,从而为数字图像的实时性编码传输提供了保证。

With the development of the digital image communication technology, a large number of image data’s storage and transmission greatly restricted the development of image communication, and become a “bottleneck” problem of it. The purpose of lossless image compression is to reduce the amount of data used to represent the image without any information loss, so the original image can be recovered correctly when decoding. Huffman coding is a basic arithmetic of many image coding standards, but it has a shortcoming of slow coding and decoding. This paper gives a fast Huffman compress and decompresses method based on the traditional Huffman coding method, and Implementation the method on the TI DSP Integrated development environment CCS, and optimize it according to the hardware. The experimental result shows that the time of compression or decompression is achieve the desired objectives, and it guarantees the real-time transmission and coding of digital image.

李冠一

通信计算技术、计算机技术电子技术应用

Huffman无损压缩SPMS320C6455优化线性汇编

HuffmanLossless CompressSPMS320C6455OptimizationLinear Assembly

李冠一.图像无损压缩算法的DSP实现及优化[EB/OL].(2008-12-25)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200812-830.点此复制

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