Image denoising with hard color-shrinkage and grouplet transform

T. Saito, K. Ishikawa, Yasutaka Ueda, T. Komatsu
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引用次数: 3

Abstract

To remove signal-dependent noise of a digital color camera, we propose a new denoising method with our hard color-shrinkage in the tight-frame grouplet transform domain. The classic hard-shrinkage works well for monochrome-image denoising. To utilize inter-channel color dependence, a noisy image undergoes the color transformation from the RGB to the luminance-and-chrominance color space, and the luminance and the chrominance components are separately denoised; but this approach cannot cope with actual signal-dependent noise. To utilize the noise's signal-dependencies, we have constructed the hard color-shrinkage where the interchannel color dependence is directly utilized in the RGB color space. The hard color-shrinkage alleviates denoising artifacts, and improves picture quality of denoised images.
采用硬色收缩和组变换对图像进行去噪
为了去除数码彩色相机的信号依赖性噪声,提出了一种在紧帧群变换域中使用硬颜色收缩的去噪方法。经典的硬收缩对单色图像去噪效果很好。为了利用通道间颜色依赖性,对噪声图像进行从RGB到亮度和色度颜色空间的颜色变换,并分别对亮度和色度分量进行去噪;但这种方法不能处理实际的信号相关噪声。为了利用噪声的信号依赖性,我们构造了硬颜色收缩,其中通道间颜色依赖性直接在RGB色彩空间中使用。硬色收缩减轻了去噪后的伪影,提高了去噪后图像的质量。
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