Removal of specular reflections from image sequences using feature correspondences

Removal of specular reflections from image sequences using feature correspondences
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DOI:
10.1007/s00138-017-0826-6
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发表时间:
2017-02
影响因子:
3.3
通讯作者:
S. M. Z. A. Shah;S. Marshall;P. Murray
S. M. Z. A. Shah;S. Marshall;P. Murray
中科院分区:
计算机科学4区
文献类型:
--
作者:
S. M. Z. A. Shah;S. Marshall;P. Murray

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镜面高光的存在可以隐藏图像内场景的底层特征,并且在许多应用场景中可能是有问题的。特别是,这对图像拼接用于从管道、煤气管、火车轨道和混凝土结构的检查镜头创建场景的单个静态图像的应用构成了重大挑战。此外,它们可以隐藏图像中的小缺陷,导致它们在检查期间被遗漏。我们提出了一种方法,该方法利用视频片段中相邻帧中的附加信息来减少每帧的镜面反射。该技术首先自动确定帧,其中包含重叠的区域之前,它们之间存在的关系被利用,以抑制镜面反射的影响。这导致没有镜面高光的图像,只要序列中存在至少一个帧,其中给定像素以漫射形式存在。该方法被证明工作良好的灰度以及彩色图像,有效地减少了镜面反射,显着提高了拼接图像的质量,即使在存在噪声。在应用于减少检测视频中的镜面反射的挑战时,该方法改进了镜面反射去除的最新技术,并且其应用范围广泛,作为通用的预处理工具。
The presence of specular highlights can hide underlying features of a scene within an image and can be problematic in many application scenarios. In particular, this poses a significant challenge for applications where image stitching is used to create a single static image of a scene from inspection footage of pipes, gas tubes, train tracks and concrete structures. Furthermore, they can hide small defects in the images causing them to be missed during inspection. We present a method which exploits additional information in neighbouring frames from video footage to reduce specularity from each frame. The technique first automatically determines frames which contain overlapping regions before the relationship that exists between them is exploited in order to suppress the effects of specular reflections. This results in an image that is free from specular highlights provided there is at least one frame present in the sequence where a given pixel is present in a diffuse form. The method is shown to work well on greyscale as well as colour images and effectively reduces specularity and significantly improves the quality of the stitched image, even in the presence of noise. While applied to the challenge of reducing specularity in inspection videos, the method improves upon the state-of-the-art in specularity removal, and its applications are wide-ranging as a general purpose pre-processing tool.