光学学报, 2019, 39 (3): 0304001, 网络出版: 2019-05-10
光场相机精确色彩矢量约束下的超分辨率算法 下载: 905次
Super-Resolution Algorithm Based on Precise Color Vector Constraint of Light Field Camera
探测器 LYTRO相机 超分辨率 微透镜阵列 点扩散函数 色彩恢复 detectors LYTRO camera super resolution microlens array point spread function color restoration
摘要
以LYTRO相机为例,提出一种精确色彩矢量约束下的光场图像超分辨率算法。根据相机内部微透镜阵列按六边形分布的特点,结合点扩散函数,及相机探测器阵列上滤光片的排列方式,计算了每个单一像素点的RGB色彩分量值,精确恢复出每一个像素的颜色信息;利用金字塔算法对色彩恢复的时效性进行了优化。提出一种基于相机子孔径图像序列颜色矢量约束下的超分辨率算法,以提高图像质量。所提的色彩恢复方法可以用于多款光场相机,同时以色彩矢量作为约束条件,彩色超分辨率图像恢复的效果理想。
Abstract
Taking LYTRO camera as an example, we propose a super-resolution algorithm for light field image with precise color vector. According to the hexagonal distribution of the microlens array inside the camera, combining with the point spread function and the arrangement of the filters on the camera detector array, we calculate the RGB color component values of each single pixel point, and accurately recover the color information of each pixel. The timeliness of color restoration is optimized by using pyramid algorithm. In the second part, a super-resolution algorithm based on color vector constraint of camera sub-aperture image sequence is proposed to improve image quality. The proposed color restoration method can be applied to many kinds of light field cameras. At the same time, the color vector is used as the constraint condition, and the color super-resolution image restoration effect is ideal.
孙福盛, 韩燮. 光场相机精确色彩矢量约束下的超分辨率算法[J]. 光学学报, 2019, 39(3): 0304001. Fusheng Sun, Xie Han. Super-Resolution Algorithm Based on Precise Color Vector Constraint of Light Field Camera[J]. Acta Optica Sinica, 2019, 39(3): 0304001.