首页> 外文会议>2010 25th International Conference of Image and Vision Computing New Zealand >Blind reverse CFA demosaicking for the reduction of colour artifacts from demosaicked images
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Blind reverse CFA demosaicking for the reduction of colour artifacts from demosaicked images

机译:盲目反向CFA脱马赛克,以减少脱马赛克图像中的彩色伪像

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When a single image sensor is used to capture a colour image, only one colour at each pixel location is acquired. Demosaicking is required to estimate the other missing colour information in order to produce a full colour image. Digital images taken by early generation digital cameras using primitive demosaicking algorithms have resulted in inferior quality images with colour artifacts. In general, it is difficult to apply filtering for the removal of those artifacts. There has been active research in the development of demosaicking algorithms for digital cameras resulting in higher quality demosaicked images with minimal colour artifacts. If those inferior quality images could be re-demosaicked by making use of the advance in demosaicking algorithms, a better output image can be produced without filtering. In this paper, we proposed a novel technique to firstly extract the true sensor pixel values using blind reverse demosaicking from the inferior colour image input. We then apply a state-of-the-art demosaicking method to reproduce the output image with minimal colour artifacts. One advantage of our proposed blind reverse demosaicking method is that an image not in RAW format (digital negative) can still be improved in quality with the advancement of demosaicking algorithms.
机译:当使用单个图像传感器捕获彩色图像时,每个像素位置仅获取一种颜色。需要去马赛克以估计其他丢失的颜色信息,以产生全彩色图像。早期的数码相机使用原始的去马赛克算法拍摄的数字图像导致带有彩色伪像的劣质图像。通常,难以应用过滤来去除那些伪像。在开发用于数码相机的去马赛克算法方面已经进行了积极的研究,从而产生了具有最少颜色伪影的高质量去马赛克图像。如果可以通过使用去马赛克算法的先进技术对那些质量较差的图像进行重新去马赛克处理,则可以生成更好的输出图像,而无需进行滤波。在本文中,我们提出了一种新技术,该技术首先从劣质彩色图像输入中使用盲反向反镶嵌来提取真实传感器像素值。然后,我们应用最先进的去马赛克方法来以最少的颜色伪影再现输出图像。我们提出的盲反向去马赛克方法的一个优点是,随着去马赛克算法的发展,非RAW格式(数字负片)的图像质量仍然可以得到改善。

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