图像的无损压缩
Research of Image pression
专业:电子信息
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目录
内容摘要 I
ABSTRACT II
第一章序论 1
§ 课题背景 1
§ 图像的无损压缩的发展现状 1
§ 压缩原理 1
§ 发展现状 2
§ 国际标准 2
第二章图像的无损压缩思想 4
第三章图像无损压缩中的若干重要问题 5
§ 预测误差的模型化 5
§ 上下文稀少问题 5
§ 预测邻域的规模 5
§ 图像扫描顺序 5
第四章图像无损压缩算法中的预测模型 7
§ JPEG图像无损压缩算法 7
§ JPEG-LS 图像无损压缩算法 7
§ 基于块方向预测的图像无损压缩算法 9
§ 基于局部变化率的无损图像压缩方法 10
§ 三元算术编码 11
§ 误差模型化和误差反馈 11
§ 算法复杂性分析及仿真试验结果 12
§ 步长法 12
§ 差值法 12
§ 其他预测模型 13
结束语 14
参考文献 16
内容摘要
近年来,越来越多的研究人员注意到图像压缩的重要性,其主要原因就在于图像文件不仅占据内存空间,而且也占据大量的传输带宽,因此在存储和传输前必须对图像进行压缩。无损压缩要求图像在压缩前和解压缩后应该完全一样,不允许有一位的差错。无损压缩的目标是在不丢失信息的前提下,对给定的图像用尽可能少的数据来表示。本文描述了基于不同解相关模型的无损压缩算法的主要思想,介绍了对图像进行无损压缩等基本方法。接着讨论了实现图像无损压缩算法重点的若干重要问题。本文最后还详述了图像无损压缩算法中的预测编码模型,介绍了预测模型对研究进展的贡献,并就无损压缩领域所存在的一些问题及进一步研究的方向进行了有益的探讨。
关键词:无损压缩,熵编码,逐级式传输,预测模型
Abstract
In recent years, the importance of the pression was noted by the more and more researcher. The primary cause not only lies in that the image document occupies memory space, and also occupies a large amount of transmission bandwidth, therefore, the image should pressed before being memorized and transmitted. The pression requires that the image pression identify with that pression. The goal of pression is to use as few as possible to transmit the image under the premise of not losing any information. This paper describes the main thought based on the different solution correlation model about pression algorithm, and introduces the essential method of carrying on the pression to the image. Then the key certain important issues was discussed in realization image pression algorithm. This paper finally introduces the predictive coding model in the image pression algorithm in detail, and also introduces the forecast model’s contribution to study the progress; At last, this paper also analyzes the direction of the pression research, and the problem of the domain in the pression.
Key words:pression, entropy coding, progressive tra
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