图像分形后，对相邻帧间对应的数据求差并进行压缩编码，减少时间与空间冗余度。
After image was decomposed, the corresponding data were compressed and coded. It could reduce the time and space redundancy.
本文就是介绍利用MATLAB实现对图像的压缩与编码。
This paper is introduced using MATLAB right image compression and coding.
运用多媒体计算机高效压缩编码技术，在普通一路电话线上快速发送与接收图像、文字与声音信息，性能稳定可靠。
This paper proposes high - efficient compassing code technique using multimedia computer which can send out and receive imagines, characters and audio message. Its property is stable and reliable.
进行动态图像压缩时如何兼顾较高的编码速度与较低的码率成为编码的关键。
High speed and low bit rate coding is very important in dynamic image compression.
该编码方法与现有桌面图像编码方法相比，压缩率大于现有桌面图像编码方法，是一种性能很好的综合编码方法。
Compared with current desktop picture coding, it comes with better ratio of compression and is a better method for comprehensive coding.
最后，将感兴趣区域比特位提升与SPIHT编码算法结合，完成了图像的压缩编码。
Finally, the bit lifting on ROI is combined with SPIHT algorithm, accomplishing the image coding.
给出了基于小波的图像压缩编码的基本原理与主要几种小波图像压缩算法，讨论了图像编码中小波基选取、边界处理以及分解级数等几个问题。
The followings are studied in this thesis: principle of wavelet based image coding methods, key problems of wavelet transform in image codec and some main coding algorithms based on wavelet.
因此将原始图像进行图像压缩编码是解决图像数据量大与有限存储容量和传输带宽矛盾的最合理方法。
So image compression coding of the original image is the most reasonable method that solves large amount of image data with limited storage capacity and transmission bandwidth contradictions.
因此将原始图像进行图像压缩编码是解决图像数据量大与有限存储容量和传输带宽矛盾的最合理方法。
So image compression coding of the original image is the most reasonable method that solves large amount of image data with limited storage capacity and transmission bandwidth contradictions.
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