Title :
Classified-Filter-based Post-Compensation Interpolation for Color Filter Array demosaicing
Author :
Guo, Jing-Ming ; Liu, Yun-Fu ; Lai, Bo-Syun ; Wang, Peng-Hua ; Lee, Jiann-Der
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
In this paper, a classified-based post-compensation algorithm for Color Filter Array (CFA) demosaicing is proposed. This technique can be used for improving the image quality of the interpolated results obtained by other CFA images. First, each pixel is classified according to its neighborhood texture variance and angle. Then, different Least-Mean-Square (LMS) filters are trained to adopt for dealing pixels of various characteristics. As documented in the experimental results, the proposed scheme can substantially boost the image quality; in addition, a better visual perceptual can be obtained. Notably, the proposed method can be considered as effective post-compensation by applying for any former schemes to yield an even better image quality.
Keywords :
filtering theory; image classification; image colour analysis; image segmentation; image texture; interpolation; least mean squares methods; CFA demosaicing; CFA images; LMS filters; classified-based post-compensation algorithm; classified-filter-based post-compensation interpolation; color filter array demosaicing; image quality; interpolated results; least-mean-square filters; neighborhood texture angle; neighborhood texture variance; visual perceptual; Filter banks; Filtering algorithms; Image color analysis; Image quality; Interpolation; Least squares approximation; PSNR; Bayer pattern; Color filter array; color interpolation; demosaicing; least mean squares;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288035
