Deriving Color Images from noisy Bayer Data using local Demosaicking and non-local Denoising
A widely used solution for cost effective and small cameras are single sensors with a color filter array (CFA). The most popular type of CFA is the Bayer color filter array. Only red, green and blue color components are passed to the sensor depending on their coordinates. In this paper a new method is presented to derive color images from noisy Bayer filtered data. The denoising and interpolation steps are done separately, using local techniques for color interpolation and non-local fliters for denoising. The advantage of the method are less blurring and reduced color artifacts especially for highly textured images as compared to methods using local filtering for denoising.
demosaicking non-local denoising Bayer color filter array
Marcel Nawrath Jens J(a)kel
Institute of Measurement Technology and Control Engineering Leipzig University of Applied Sciences D-04251 Leipzig, Germany
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
683-687
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）