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Adaptive Contrast Enhancement for Underexposed Images

机译:曝光不足图像的自适应对比度增强

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In the present article we focus on enhancing the contrast of images with low illumination that present large underexposed regions. For these particular images, when applying the standard contrast enhancement techniques, we also introduce noise over-enhancement within the darker regions. Even if both the contrast enhancement and denoising problems have been widely addressed within the literature, these two processing steps are, in general, independently considered in the processing pipeline. The goal of this work is to integrate contrast enhancement and denoise algorithms to proper enhance the above described type of images. The method has been applied to a proper database of underexposed images. Our results have been qualitatively compared before and after applying the proposed algorithm.
机译:在本文中,我们着重于提高低照度下图像的对比度,这些图像呈现出曝光不足的区域。对于这些特定的图像,当应用标准对比度增强技术时,我们还会在较暗的区域内引入噪声过度增强。即使在文献中已经广泛解决了对比度增强和去噪问题,但是通常在处理管线中独立考虑这两个处理步骤。这项工作的目标是集成对比度增强和降噪算法,以适当增强上述图像类型。该方法已应用于曝光不足图像的适当数据库。应用该算法前后,我们的结果已经进行了定性比较。

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