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Image contrast enhancement based on noise aware shadow-up function

机译:基于噪声感吸卷影功能的图像对比度增强

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This paper proposes a novel image contrast enhancement method based on a noise aware shadow-up function. Images taken by digital cameras have low contrast in dark or bright regions. This is due to a limited dynamic range which imaging sensors have. For this reason, various contrast enhancement methods have so far been proposed. However, conventional enhancement methods cause the loss of details in bright regions due to over-enhancement of contrast. In addition, most of conventional methods amplify noise in dark regions because they do not consider noise included images. The proposed method can enhance the image contrast without over-enhancement and noise amplification. In the proposed method, a shadow-up function is used for preventing over-enhancement and the loss of details in bright regions. In addition, a mapping function designed by using a noise aware histogram allows not only to enhance contrast of dark region, but also to avoid amplifying noise. Experimental results show the effectiveness of the proposed method by comparing the proposed ones with conventional ones.
机译:本文提出了一种基于噪声感知凸起功能的新型图像对比度增强方法。数字相机拍摄的图像在黑暗或明亮的地区具有低对比度。这是由于成像传感器具有有限的动态范围。因此,到目前为止已经提出了各种对比增强方法。然而,由于对比度过度增强,传统的增强方法导致明亮区域中的细节丢失。此外,大多数常规方法放大暗区中的噪声,因为它们不考虑噪声包括图像。该方法可以增强图像对比度而不会过度增强和噪声放大。在所提出的方法中,凸起功能用于防止过度增强和明亮区域中的细节丢失。另外,通过使用噪声感知直方图设计的映射函数不仅可以增强暗区的对比度,而且避免放大噪声。实验结果通过将所提出的方法与常规方法进行比较来表示提出的方法的有效性。

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