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A Perception-Based Brightness Segmentation Method of High Dynamic Range Infrared Images

机译:高动态范围红外图像的基于感知的亮度分割方法

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In order to display the details from dark area to bright area in high dynamic range infrared image effectively, this paper proposes a brightness segmentation method for high dynamic range infrared image. The method considers the characteristics of human visual perception and the gray histogram distribution of high dynamic range infrared image. The proposed method is used to test the high dynamic range infrared images obtained in different scenes, and the experimental results show that the method is effective and robust. Based on the brightness region segmentation results of the proposed method, a number of different enhancement algorithms can be applied selectively to the different regions of high dynamic range infrared image to achieve a better overall enhancement than applying a single technique globally.
机译:为了有效地将暗区域从暗区域显示到明亮区域的明亮区域,本文提出了一种用于高动态范围红外图像的亮度分段方法。 该方法考虑人类视觉感知的特征和高动态范围红外图像的灰色直方图分布。 所提出的方法用于测试在不同场景中获得的高动态范围红外图像,实验结果表明该方法是有效和鲁棒的。 基于所提出的方法的亮度区域分割结果,可以选择性地应用许多不同的增强算法,以实现高动态范围红外图像的不同区域,以实现比在全球范围内应用单一技术的更好的整体增强。

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