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A Novel Spatial Domain Details Enhancement and Compression Algorithm for High Dynamic Range Infrared Image

机译:高动态范围红外图像空间域细节增强与压缩算法

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With constraints to the performance of the IR detector, IR image usually has lower visual effect with low contrast and less detailed information. In this paper, a new dynamic range infrared image details enhancement algorithm is studied, using a bilateral filter to extract a base component and a detail component. Then these two components are compressed to fit the display dynamic range and then recombined to obtain the output-enhancement image. This algorithm has solved the problem of ripple phenomenon which exists in the traditional infrared image digital detail enhancement. Finally, the algorithm described in this paper is proved experimentally that can provide better DDE effect.
机译:受红外探测器性能的限制,红外图像通常具有较低的视觉效果,较低的对比度和较少的详细信息。本文研究了一种新的动态范围红外图像细节增强算法,该算法利用双边滤波器提取基本分量和细节分量。然后将这两个分量压缩以适合显示动态范围,然后重新组合以获得输出增强图像。该算法解决了传统红外图像数字细节增强中存在的波纹现象问题。最后,通过实验证明了本文描述的算法可以提供更好的DDE效果。

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