Bayer 패턴의 de-mosaicing 과정에서 발생하는 색상잡음 제거를 위한 검열기반 적응적 평탄화 기법

Adaptive Smoothing Algorithm Based on Censoring for Removing False Color Noise Caused by De-mosaicing on Bayer Pattern CFA

The purpose of this paper is to propose ways to remove false color noise (FCN) generated during de-mosaicing on RGB Bayer pattern images. In case of images sensors adapting Bayer pattern color filters array (CFA), de-mosaicing is conducted to recover the RGB color data in single pixels. Here, FCN phenomena would occur where there is clearer silhouette or contrast of colors. The FCN phenomena found during de-mosaicking process appears locally in the edges inside the image and the proposed method of eliminating this is to convert RGB color space to YCbCr space to conduct smoothing process. Moreover, for edges where different colors come together, censoring based smoothing technique is proposed as a way to minimize color blurring effect.