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ADAPTIVE ENHANCEMENT METHOD FOR IMAGE CONTRAST BASED ON LEVEL OF DETAIL
ADAPTIVE ENHANCEMENT METHOD FOR IMAGE CONTRAST BASED ON LEVEL OF DETAIL
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机译:基于细节水平的图像对比度自适应增强方法
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摘要
A level of detail-transformation adaptive enhancement method for image contrast includes: dividing a remote sensing image into a plurality images of different levels of detail, the lowest level of detail defined as L and the highest level of detail defined as H, and gradually transforming an image Imagei of an arbitrary level of detail i between the image ImageH of the highest level of detail H and the image ImageL of the lowest level of detail L from ImageL to ImageH through the following equation: Imagei=Ri×ImageH+(1−Ri)×ImageL. The image ImageH of the highest level of detail H is an image ImageACE produced with adaptive contrast enhancement processing, or an image produced with a contrast enhancement method such as Gaussian or histogram equalization; the image ImageL of the lowest level of detail L is an image ImageLCE produced by common linear contrast enhancement.
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机译:一种用于图像对比度的细节变换自适应增强方法,包括:将遥感图像划分为不同细节程度的多个图像,将最低细节级别定义为L,将最高细节级别定义为H,并逐步变换细节等级为H的图像Image H Sub>的任意细节等级i的图像Image i Sub>通过以下等式,从Image L Sub>到Image H Sub>的最低详细级别L:Image i Sub> = R i Sub> ×Image H Sub> +( 1 B> -R i Sub>)×Image L Sub>。最高细节水平H的图像Image H Sub>是通过自适应对比度增强处理生成的图像Image ACE Sub>,或者是通过诸如高斯或高斯等对比度增强方法生成的图像直方图均衡;最低细节级别L的图像Image L Sub>是通过常见的线性对比度增强生成的图像Image LCE Sub>。
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