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Multi-Band YCbCr Noise Modeling And Noise Reduction Based On Scene Metadata

机译:基于场景元数据的多频带YCbCr噪声建模与降噪

摘要

Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models developed for both luma and chroma channels by measurements taken for multiple frequency bands, in multiple patches on the ColorChecker chart, and at multiple gain levels, in order to develop a simple yet robust set of models that may be tuned off-line a single time for each camera and then applied to images taken by such cameras in real-time without excessive processing requirements and with satisfactory results across illuminant types and lighting conditions.
机译:图像增强是通过分离图像信号来实现的,例如YCbCr图像信号进入一系列频带,并在给定频率以下的频带上执行降噪操作,但不在该频率以上的频带上执行降噪操作。将频带相加以产生图像增强信号。 YCbCr多频带降噪方法能够在亮度和色度通道上以优化的方式独立运行。降噪是基于针对亮度和色度通道开发的模型,通过对多个频段,ColorChecker图表上的多个色块中以及在多个增益水平下进行的测量来完成的,以便开发出一套简单而强大的模型,每个摄像机离线离线调整一次,然后实时应用于此类摄像机拍摄的图像,而无需过多的处理要求,并且在各种光源类型和光照条件下均具有令人满意的结果。

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