Remote Sensing Image Enhancement of the MSRCR Algorithm Based on the Guided Filtering of Sobel Operator

摘要：

　　Aiming at solving the problems of halo pseudo-color and detail blur of remote sensing image in traditional Retinex algorithm,a new color restoration of multi scale Retinex(MSRCR)image enhancement algorithm based on guided filtering of sobel operator is proposed.Using the sobel edge detection operator to calculate the gradient magnitude of the image,the fixed regularization parameter of the traditional guided filtering is discriminated and it is adaptive in the edge region and the smooth region of image.Then,the Gaussian filtering of traditional MSRCR is replaced with the guided filtering based on the sobel edge detection operator.Experimental results show that the proposed algorithm not only highlights the edge details and color fidelity,but also has lower computational complexity and higher efficiency.

关键词： remote sensing image MSRCR regularization parameter sobel edge detection operator guided filtering

作者: LUTENG FENGXUE

作者单位: School of Electronics and Information Northwestern Polytechnical University Xian,China

会议类型: 国际会议

会议名称: The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE 2018)?(第十二届天线、传播与电磁理论国际学术会议)

会议地点: 杭州

会议语种:英文

页码: 1-6

在线出版日期: 2018-12-03（万方平台首次上网日期，不代表论文的发表时间）