算术编码在数字图像处理中的应用

电子信息工程论文编号:DZXX257  论文字数:12801,页数:28

目 录

摘 要 I
ABSTRACT II
第1章  引言 1
1.1背景 1
1.2研究内容 1
第2章JPEG2000与算术编码 2
2.1JPEG2000 2
2.1.1 JPEG2000应用前景 2
2.1.2 JPEG2000编解码系统 3
2.2 JPEG2000中的算术编码 5
2.2.1算术编码 5
2.2.2自适应二进制算术编码 5
2.2.3算术编码算法的改进 13
第3章 MQ编码器设计 15
3.1 MQ编码器串行结构 15
3.1.1串行结构描述 15
3.1.2数据仿真 19
3.2 对MQ算术编码器串行结构的改进 20
3.2.1概率索引和检测位模块 20
3.2.2编码模块 21
3.2.3数据仿真 21
第4章 总结 23
致 谢 24
参考文献 25

摘 要

 算术编码是一种很有发展前途的无损压缩方法,国内外许多学者都对其进行了研究。在新的静止图像压缩编码标准JPEG2000中,图像数据经小波变换后,对于量化系数各比特平面(bit plane)就是进行基于上下文的自适应算术编码。算术编码出色的性能使其在多媒体领域得到越来越广泛的应用。
 与其它熵编码方法相比，算术编码能够取得更好的压缩效果。但其缺点是算法复杂度较高。可以说，JPEG2000在算术编码的设计中运用了很多技巧。本文就是在对JPEG2000算术编码进行具体的分析后，用VHDL语言描述了一种编码器——MQ编码器，并对其进行了仿真验证。 

关键词： 算术编码， JPEG2000， 图像压缩， VHDL

ABSTRACT
 Arithmetic coding is a promising method of lossless compression. Many domestic and foreign scholars have studied it. In the JPEG2000, a new still image compression coding standard, the image data after being transformed by the Wavelet transformation will be processed by the context-based adaptive arithmetic coding. For instance the quantification coefficient’s bit plane. Arithmetic coding is being used in increasingly wide range of the multimedia’s domain.
 Compare with others entropy coding methods, arithmetic coding could take better compression results. But its shortcoming is that its algorithm complexity is higher. It can be said. JPEG2000 used a lot of skills in the design of arithmetic coding. After making some specific analysis of the arithmetic coding, this article will describe a MQ-encoder in VHDL language, and make its simulation.
 
Keywords: arithmetic coding, JPEG2000, image compression, VHDL