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Shadow removal for umbrageous information recovery in aerial images

机译:去除阴影以恢复航空影像中的模糊信息

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The undesirable local change in the illumination intensity observed in a captured image often due to some opaque object hindering the light path is termed as shadow. Apart from resisting the image to deliver the high quality content, it also reduces the efficiency of various next level image processing applications such as object detection, feature extraction etc. This paper proposes a method to recoup a shadow recovered image. The method involves the detection of shadow which also includes morphological filtering to rule out the ambiguities and then eliminating the detected shadow. This paper adopts Gamma correction technique for shadow removal. The experimental results verify the efficiency of this method by comparing it with two other methods. The parameter Structural Similarity Index Metric is also used to gauge the accuracy of the three methods.
机译:经常由于某些不透明物体阻碍光路而在捕获的图像中观察到的不希望的照明强度局部变化被称为阴影。除了阻止图像提供高质量的内容外,它还降低了各种下一代图像处理应用程序的效率,例如对象检测,特征提取等。本文提出了一种补偿阴影恢复图像的方法。该方法涉及阴影的检测,这还包括形态过滤以排除歧义,然后消除检测到的阴影。本文采用伽玛校正技术去除阴影。实验结果通过与其他两种方法进行比较验证了该方法的有效性。参数“结构相似性指标度量”也用于评估这三种方法的准确性。

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