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Restoration of a high ISO-sensitivity color image with the shift-invariant Haar wavelet transform

机译:使用不变移Haar小波变换恢复高ISO感光度彩色图像

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Recently, R. H. Chan, T. F. Chan, L. Shen, and Z. Shen proposed an image-restoration method, referred to as the C~2-S~2 method, in the shift-invariant Haar wavelet transform domain. The C~2-S~2 method is suitable for image-restoration in a digital color camera and restores a sharp color image in a lightly noisy case; but in a heavily noisy case it produces colored artifacts originating from noise. In such a case, the image-restoration process should be split into a color-interpolation stage, a denoising stage, and a deblurring stage; and along this line we present an approach to restore a high ISO-sensitivity color image. Our approach firstly de-mosaics observed color data with the bi-linear interpolation method, which is robust against observation noise but causes image blurs. Next, our approach applies our previously-proposed spatially-adaptive soft color-shrinkage to each shift-invariant Haar wavelet coefficient of the demosaicked color-image, to produce a denoised color-image. Finally, our approach applies to the denoised color-image a color-image restoration method that corresponds to an extension of the C~2-S~2 method and employs our previously proposed soft color-shrinkage. The experimental simulations conducted on raw color data observed with a SLR digital color camera with 6400 ISO-sensitivity demonstrate that our approach restores a high-quality color image even in a high ISO-sensitivity case, without producing noticeable artifacts.
机译:最近,R。H. Chan,T。F. Chan,L。Shen和Z. Shen提出了一种在移位不变Haar小波变换域中的图像恢复方法,称为C〜2-S〜2方法。 C〜2-S〜2方法适用于数码彩色相机中的图像恢复,并且在嘈杂的情况下可以恢复清晰的彩色图像。但在嘈杂的情况下,它会产生源自噪声的彩色伪像。在这种情况下,图像恢复处理应该分为颜色插值阶段,去噪阶段和去模糊阶段;因此,我们提出了一种还原高ISO感光度彩色图像的方法。我们的方法首先使用双线性插值方法对已观察的颜色数据进行去马赛克处理,该方法可抵抗观察噪声,但会导致图像模糊。接下来,我们的方法将我们先前提出的空间自适应软色收缩应用于去马赛克彩色图像的每个位移不变的Haar小波系数,以产生去噪的彩色图像。最后,我们的方法将彩色图像恢复方法应用于去噪彩色图像,该方法对应于C〜2-S〜2方法的扩展,并采用了我们先前提出的柔和色彩收缩。使用具有6400 ISO感光度的SLR数码彩色相机观察到的原始彩色数据进行的实验仿真表明,即使在高ISO感光度的情况下,我们的方法也可以恢复高质量的彩色图像,而不会产生明显的伪影。

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