船联网中曲波阈值图像去噪自适应算法研究

Ship in the networked curvelet image denoising threshold adaptive algorithm research

随着船联网时代的到来,对于图像的传输质量要求越来越高。本文给出一种改进的曲波阈值图像去噪自适应算法,该算法结合反应扩散滤波器,有效利用曲波变换与反应扩散滤波器的优势,既抑制曲波图像去噪过程中所产生的"虚假"现象,也弥补反应扩散滤波会产生斑点噪声的缺点。

With the arrival of the era of the Internet of ships,the quality of the image transmission requirements were getting higher and higher. In this paper,an improved curvelet thresholding image denoising adaptive algorithm was proposed,the algorithm combined the reaction diffusion filter,Efficient use of the advantages of the reaction diffusion filter and Qu Bo transform. It not only suppressed the ' false' phenomenon in the process of Qu Bo image denoising,but also made up for the shortcomings of the reaction diffusion filter.