Title :
Color Filter Array Demosaicking by Using Subband Synthesis Scheme
Author :
Da-Cheng Sung ; Hen-Wai Tsao
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
Digital still cameras use image sensors to capture images. To reduce the size of digital still cameras, a single image sensor instead of three image sensors should be used. A single image sensor overlaid with a color filter array (CFA) that filters color channels only captures one color channel at each pixel; thus, the other missing color channels at each pixel must be reproduced from neighboring pixels. This procedure is known as CFA interpolation or demosaicking. In this paper, a novel CFA interpolation method is proposed to reduce false color artifacts and improve the quality of restored images. First, an edge detection method is used to interpolate the initial missing color channels. Second, the high correlations between wavelet subbands of the different color channels are explored to obtain accurate color values of the estimated green channel. Finally, the high-frequency subbands of red and blue channels are iteratively updated to reduce false color artifacts. Experimental results show that our proposed method preserves edges and restores images with high quality.
Keywords :
filtering theory; image colour analysis; image resolution; image segmentation; image sensors; interpolation; CFA interpolation method; color channels; color filter array; color filter array demosaicking; digital cameras; green channel estimation; image restoration; image sensor; image sensors; neighboring pixels; subband synthesis scheme; wavelet subbands; Channel estimation; Classification algorithms; Color; Correlation; Image color analysis; Image edge detection; Interpolation; Bayer pattern; color filter array (CFA); color interpolation; image sensor;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2015.2449902