Shape-adaptive noise reduction for color filter array image data
Tamara Seybold1; Bernd Klässner2; Walter Stechele21 Arnold & Richter Cine Technik, München, Germany2 Technische Universität München, München, Germany
While denoising readily processed images has been studied extensively, the reduction of camera noise in the camera raw data is still a challenging problem. Camera noise is signal-dependent and the raw data is a color filter array (CFA) image, which means the neighboring values are not of the same color and standard denoising methods cannot be used. In this paper, we propose a new method for efficient raw data denoising that is based on a shape-adaptive DCT (SA-DCT), which was originally ...
Get Emerging Trends in Image Processing, Computer Vision and Pattern Recognition now with O’Reilly online learning.
O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.