基于Spice协议的图像分类与压缩设计与分析

Image Classification and Compression Design and Analysis Based on Spice Protocol

随着计算机技术的发展,计算机设备的应用已经是各行各业不可缺少的工具。近几年,随着云计算的发展推动了云桌面行业的发展,云桌面的市场占用率越来越高。由于云桌面替代了传统PC桌面,因此,对云桌面的体验要求越来越高。图像在进行压缩编码时,原始图像格式一般采用微软支持的bitmap格式。图像压缩编码,如果仅仅采用熵编码、字典压缩编码或游程编码等无损压缩编码方法,会导致图像压缩率低。如果采用JPEG系列、MPEG-X系列或H.26X系列等有损压缩编码方法,导致图像压缩质量不佳,甚至会引起文本模糊和振铃效应。笔者主要以Spice协议为基础,针对Spice已有的图像分类算法和压缩算法进行分析,提出对桌面图像系列更有效的图像分类算法和压缩算法,对协议进行相应的改进优化来提升云桌面的体验。

With the development of computer technology, the application of computer equipment has become an indispensable tool in all walks of life. Cloud desktop based on VDI architecture came into being. in recent years, with the development of cloud computing, cloud desktop industry has been further promoted, and cloud desktop market occupancy rate is getting higher and higher. As the cloud desktop is a technology to replace the traditional PC desktop, the use experience of the cloud desktop is more and more demanding： when the image is compressed and encoded, the original image format usually adopts bitmap format supported by Microsoft. Image compression coding, if only entropy coding, dictionary compression coding or run-length coding and other lossless compression coding methods are used, the image compression rate is very low; However, if lossy compression coding methods such as JPEG series, MPEG-X series or H.26 X series are used, the image compression quality is not good, for example, text blurring and ringing effects may be caused. Based on spice protocol, this paper analyzes the existing image classification algorithm and compression algorithm of spice, and proposes more effective image classification algorithm and compression algorithm for desktop image series, and improves and optimizes the protocol accordingly to improve the cloud desktop experience.