摘要
传统算法在进行传输感知图像的模糊处理时,对模糊隶属函数的计算不准确,因此图像处理峰值信噪比低。针对这一问题,提出无线网络环境下传输感知图像的模糊处理算法。检测传输感知图像的模糊边缘信息;计算传输感知图像的模糊隶属函数;实现传输感知图像的模糊处理。仿真实验结果表明,设计的模糊处理算法传输感知图像处理峰值信噪比最高可达37.04 dB,对照组最高为23.05 dB,设计的模糊处理算法模糊处理能力更强,可以实现对传输感知图像的高质量模糊处理。
Due to the traditional fuzzy processing algorithm of transmitting perceptual image,the calculation of fuzzy membership function is inaccurate in the fuzzy processing of transmitting perceptual image,so the peak signal-to-noise ratio of image processing is low.In order to solve the problem,a fuzzy processing algorithm of transmitting the sensing image in wireless network environment is proposed.It is designed to detect the fuzzy edge information of the transmission sensing image;calculate the fuzzy membership function of the transmission sensing image;and realize the fuzzy processing of the transmission sensing image.The simulation results show that the peak signal-to-noise ratio of the designed fuzzy processing algorithm is up to 37.04db,and the experimental control group is only 23.05 db.The fuzzy processing ability of the designed algorithm is stronger,and can realize the high-quality fuzzy processing of the transmission sensing image.
作者
张利峰
ZHANG Li-feng(Jinling Institute of Technology, Nanjing 211169, China)
出处
《金陵科技学院学报》
2020年第1期6-9,共4页
Journal of Jinling Institute of Technology
基金
江苏省高校自然科学研究面上项目(17KJB520008,18KJB520017)
江苏省高校自然科学研究面上项目(18KJB520017)。
关键词
无线网络
传输感知图像
模糊处理
峰值信噪比
wireless network
transmission sensing image
fuzzy processing
peak signal-to-noise ratio
