中文说明：技术和进口的增长进入数字化时代，世界已发现自己瞄准的大量信息。如此庞大的信息处理往往存在困难。图像压缩是最小化在一个图形文件的字节大小，而不会降低图像的质量到无法接受的水平。在文件大小的减小允许更多的图像将被存储在盘或存储器空间的一个给定的量。所以我们需要用于存储大量数据的带宽和存储的限制，并且由于有效的方式，图像必须被传输和存储之前压缩。为了克服DCT的低效率和服务在移动和互联网通信新兴领域。新的IT改造的基础上DCT。一种图像压缩算法的开发被理解利用Matlab代码。这个项目建议的图像压缩技术，它使用基于整数的图像编码中组合Huffman编码，差分编码，运行长度编码用于进一步压缩.A所示的实验结果的数目，该方法在传输节省了大量的比特，进一步提高了压缩性能。我们的项目的主要目的是为q压缩图像通过使用它来获得所期望的压缩比。
English Description：
The growth of technology and entrance into the Digital Age ,the world has found itself aimed a vast amount of information. Dealing with such enormous information can often present difficulties. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. So our need for efficient ways of storing large amount of data and due to the bandwidth and storage limitations, images must be compressed before transmission and storage.To overcome the inefficiencies in the DCT and serve emerging areas in the mobile and internet communication. The New IT transform is developed based on the DCT .An image compression algorithm was comprehended by using Matlab code.This project proposes a technique for image compression which uses the Integer-based Image Coding in Combination with Huffman cod