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Efficient Image Enhancement Algorithm Using Multi-Rate Image Processing

机译:使用多速率图像处理的高效图像增强算法

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This paper describes an efficient image enhancement method based on the Multi-Scale Retinex (MSR) approach for preprocessing of video applications. The processing amount is drastically reduced to 4 orders less than that of the original MSR, and 1 order less than the latest fast MSR method. For the efficient processing, our proposed method employs multi-stage and multi-rate filter processing which is constructed by a x-y separable and polyphase structure. In addition, the MSR association is effectively implemented during the above multi-stage processing. The method also modifies a weighting function for enhancement to improve color rendition of bright areas in an image. A variety of evaluation results show that the performance of our simplified method is similar to those of the original MSR, in terms of visual perception, contrast enhancement effects, and hue changes. Moreover, experimental results show that pre-processing of the proposed method contributes to clear foreground object separation.
机译:本文介绍了一种基于多尺度Retinex(MSR)方法的有效图像增强方法,用于视频应用程序的预处理。与原始MSR相比,处理量大大减少了4个数量级,比最新的快速MSR方法减少了1个数量级。为了有效处理,我们提出的方法采用了多级,多速率的滤波处理,该处理由x-y可分离和多相结构构成。另外,在上述多阶段处理期间有效地实现了MSR关联。该方法还修改了用于增强的加权函数,以改善图像中亮区域的颜色再现。各种评估结果表明,在视觉感知,对比度增强效果和色相变化方面,我们简化方法的性能与原始MSR相似。此外,实验结果表明,该方法的预处理有助于清晰的前景对象分离。

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