基于Python技术的网络通信彩色图像压缩编码传输  

Network Communication Color Image Compression and Encoding Transmission Based on Python Technology

作　　者：王冬冬 WANG Dongdong(Jilin Vocational College of Engineering,Siping Jilin 136001 China)

机构地区：[1]吉林工程职业学院,吉林四平136001

出　　处：《长江信息通信》2024年第9期57-58,73,共3页Changjiang Information & Communications

基　　金：2024年吉林省少年发展研究计划课题:基于新质生产力需求的吉林省青少年科技人才培养策略研究(2024jqy-394)。

摘　　要：为了解决彩色图像传输过程中存在的信息偏差较高的问题,提出基于Python技术的网络通信彩色图像压缩编码传输方法。完成色彩空间转换后,将原始图像数据从空间域表示为频域系数,并对变换系数进行量化和变换编码处理。利用Python创建了一个socket对象作为图像压缩编码载体,借助bind()绑定本地地址和端口号,结合listen()监听到的连接请求,使用accept()接受请求并返回一个新的socket对象。在测试结果中,MS-SSIM值始终稳定在较高水平,最小值也达到了0.92,传输图像的信息偏差明显低于对照组。In order to solve the problem of high information deviation in color image transmission,a network communication color image compression coding transmission method based on Python technology is proposed.After completing the color space conversion,the original image data is represented from the spatial domain as frequcncy domain coefficients,and the transformation coefficients are quantized and encoded.A socket object was created using Python as an image compression encoding carrier.Bind()was used to bind the local address and port number,combined with the connection request detected by listen().Accept()was used to accept the request and return a new socket objcct.In the test results,the MS-SSIM valuc remained stable at a high level,with a minimum value of 0.92.The information deviation of the transmitted images was significantly lower than that of the control group.

关 键 词：PYTHON 图像压缩编码 YCBCR色彩空间 频域系数 变换编码处理 

分 类 号：TU262[建筑科学—建筑设计及理论]