摘要
对低分辨率灰度图像传输的真实度进行优化,能够有效提高图像传输的准确性。对灰度图像传输真实度优化,需要平滑滤波,抑制高频系数噪声,完成灰度图像真实度优化。传统方法首先计算目标函数,采集灰度图像最优像素点集,但忽略了抑制高频系数噪声,导致优化不理想。提出低分辨率灰度图像传输真实度优化方法。进行平滑滤波,抑制图像背景,将各向同性和各向异性抑制机制融合,抑制高频系数噪声,完成低分辨率灰度图像传输真实度优化。实验结果表明,所提方法能有效提高图像传输的准确性。
Traditional trueness optimization method of gray image transmission with low resolution always ignores to suppress noise of high frequency coefficient, which leads to unsatisfied optimization. In order to overcome the problem, a new optimization method is proposed in this paper. Smooth filtering is carried out. Image background is suppressed. Suppression mechanism of isotropy and anisotropy is fused. The noise of high frequency coefficient is suppressed. Thus, the trueness optimization is completed. Simulation results reveal that the method can improve accuracy of image transmission effectively.
出处
《计算机仿真》
北大核心
2017年第12期183-186,共4页
Computer Simulation
基金
江西省教育厅科学技术研究项目(161516)
关键词
低分辨率
灰度图像
真实度优化
Low resolution
Gray image
Trueness optimization
