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Shadow Removal Using Intensity Surfaces and Texture Anchor Points

机译:使用强度表面和纹理锚点去除阴影

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Removal of shadows from a single image is a challenging problem. Producing a high-quality shadow-free image which is indistinguishable from a reproduction of a true shadow-free scene is even more difficult. Shadows in images are typically affected by several phenomena in the scene, including physical phenomena such as lighting conditions, type and behavior of shadowed surfaces, occluding objects, etc. Additionally, shadow regions may undergo postacquisition image processing transformations, e.g., contrast enhancement, which may introduce noticeable artifacts in the shadow-free images. We argue that the assumptions introduced in most studies arise from the complexity of the problem of shadow removal from a single image and limit the class of shadow images which can be handled by these methods. The purpose of this paper is twofold: First, it provides a comprehensive survey of the problems and challenges which may occur when removing shadows from a single image. In the second part of the paper, we present our framework for shadow removal, in which we attempt to overcome some of the fundamental problems described in the first part of the paper. Experimental results demonstrating the capabilities of our algorithm are presented.
机译:从单个图像中去除阴影是一个具有挑战性的问题。产生与真实的无阴影场景的再现没有区别的高质量无阴影图像更加困难。图像中的阴影通常会受到场景中几种现象的影响,包括物理现象,例如光照条件,阴影表面的类型和行为,遮挡物体等。此外,阴影区域可能会进行采集后图像处理转换,例如对比度增强,可能会在无阴影图像中引入明显的伪像。我们认为,大多数研究中引入的假设来自单个图像的阴影去除问题的复杂性,并限制了这些方法可以处理的阴影图像的类别。本文的目的是双重的:首先,它提供了对从单个图像中去除阴影时可能出现的问题和挑战的全面概述。在本文的第二部分中,我们介绍了用于阴影去除的框架,其中我们试图克服本文第一部分中描述的一些基本问题。实验结果证明了我们算法的能力。

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