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Color image dequantization by Constrained Diffusion

机译:通过约束扩散对彩色图像进行反量化

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摘要

We propose a simple and effective method for the dequantization of color images, effectively interpolating the colors from quantized levels to a continuous range of brightness values. The method is designed to be applied to images that either have undergone a manipulation like image brightness adjustment, or are going to be processed in such a way. Such operations often cause noticeable color bands in the images that can be reduced using the proposed Constrained Diffusion technique. We demonstrate the advantages of our method using synthetic and real life images as examples. We also present quantitative results using 8 bit data that has been obtained from original 12 bit sensor data and obtain substantial gains in PSNR using the proposed method.
机译:我们提出了一种简单有效的方法来对彩色图像进行反量化,从而有效地将颜色从量化级别插值到亮度值的连续范围。该方法被设计为应用于经过像图像亮度调节这样的操作或将以这种方式处理的图像。这种操作通常会在图像中引起明显的色带,使用建议的约束扩散技术可以减少这些色带。我们以合成图像和现实图像为例,展示了我们方法的优势。我们还使用从原始的12位传感器数据获得的8位数据显示定量结果,并使用提出的方法在PSNR中获得可观的收益。

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