Reflection Removal Using Multiple Polarized Images with Different Exposure Times
Reflection Removal Using Multiple Polarized Images with Different Exposure Times
复制标题
DOI：
10.23919/eusipco55093.2022.9909712
复制
发表时间：
2022-08
期刊：
影响因子：
--
通讯作者：
T. Aizu;Ryo Matsuoka
中科院分区：
文献类型：
--
作者：
T. Aizu;Ryo Matsuoka
当我们通过玻璃窗或门拍摄照片时，前景场景会反映在捕获的图像中。反射分量与背景场景重叠，使得目标识别和识别变得更加困难。提出了一种利用不同曝光时间拍摄的多幅偏振图像进行反射去除的新方法。为了在高动态范围场景中实现高精度的反射去除，在拍摄的图像中存在曝光不足/过度曝光的像素，我们引入了一种具有全变差正则化的加权非负矩阵分解(WNMF)最小化问题。为了解决这个最小化问题，我们还引入了一种交替优化乘子方向法(AO-ADMM)。在真实图像的反射去除实验中，证明了该方法相对于传统方法的优越性。
When we take a photograph through glass windows or doors, the foreground scene is reflected in the captured image. The reflected components overlap with the background scene and make object recognition and identification more difficult. This paper proposes a novel reflection removal method using multiple polarized images taken with different exposure times. To achieve a high accuracy reflection removal in high dynamic range scenes, in which photographed images have under-/over-exposed pixels, we introduce a minimization problem of weighted nonnegative matrix factorization (WNMF) with total variation regularization. To solve this minimization problem, we also introduce an alternating optimization scheme with the alternating direction method of multipliers (AO-ADMM). The advantages of the proposed method over some conventional methods are demonstrated in experiments of reflection removal using real-world images.