激光与光电子学进展, 2020, 57 (16): 161014, 网络出版: 2020-08-05
分焦平面偏振图像插值算法的比较研究 下载: 1230次
Comparison Research of Interpolation Algorithms for Division of Focal Plane Polarization Image
分焦平面 偏振图像 图像插值 数学关系 伪偏振 division of focal plane polarization image image interpolation mathematical relationship pseudo polarization
摘要
分焦平面(DoFP)偏振相机的相邻像元具有不同的偏振方向,会导致成像分辨率的损失。双线性插值和滑窗算法能够提高成像分辨率,因此,对双线性插值算法和滑窗算法的数学关系进行了分析,计算了两种算法处理边缘后的线性偏振度(DoLP)。分析表明,双线性插值算法得到的斯托克斯矢量是滑窗算法在四个方向上处理结果的平均值,在边缘区域,滑窗算法处理后的DoLP大于双线性插值算法。将两种算法分别应用于原始DoFP图像,并通过视觉、DoLP图像的统计直方图和均值进行评价。实验结果表明,与双线性插值算法相比,滑窗算法在边缘处产生较强的伪DoLP信息,更能凸显图像的边缘。
Abstract
Adjacent picture elements division of focal plane (DoFP) polarizing camera have different polarization directions, which will result in a loss of imaging resolution. Bilinear interpolation and sliding window algorithms can improve the imaging resolution, therefore, this paper analyzes the mathematical relationship between bilinear interpolation and sliding window algorithms, and degree of linear polarization (DoLP) values are calculates after processing at the edges. The analysis shows that the Stoke vector obtained by the bilinear interpolation algorithm is the average value of the processing results of by sliding window algorithm in four directions. In the edge region, the DoLP processed by sliding window algorithm is larger than bilinear interpolation algorithm. We apply the two algorithms are respectively applied to raw DoFP polarization images and evaluated by visual, statistical histogram, and mean value of the DoLP image. Experimental results prove that compared with bilinear interpolation algorithm, the sliding window algorithm produces stronger pseudo-DoLP information at edges, which highlights the details of the edges.
赵峰, 程喜萌, 冯斌, 董悦, 武荣. 分焦平面偏振图像插值算法的比较研究[J]. 激光与光电子学进展, 2020, 57(16): 161014. Feng Zhao, Ximeng Cheng, Bin Feng, Yue Dong, Rong Wu. Comparison Research of Interpolation Algorithms for Division of Focal Plane Polarization Image[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161014.