An edge-adaptive demosaicking method based on image correlation
来源期刊：中南大学学报(英文版)2015年第4期
论文作者：JIA Xiao-fen ZHAO Bai-ting ZHOU Meng-ran CHEN Zhao-quan
文章页码：1397 - 1404
Key words：demosaicking; image correlation; support vector machine; edge-adaptability
Abstract: To reduce the cost, size and complexity, a consumer digital camera usually uses a single sensor overlaid with a color filter array (CFA) to sample one of the red-green-blue primary color values, and uses demosaicking algorithm to estimate the missing color values at each pixel. A novel image correlation and support vector machine (SVM) based edge-adaptive algorithm was proposed, which can reduce edge artifacts and false color artifacts, effectively. Firstly, image pixels were separated into edge region and smooth region with an edge detection algorithm. Then, a hybrid approach switching between a simple demosaicking algorithm on the smooth region and SVM based demosaicking algorithm on the edge region was performed. Image spatial and spectral correlations were employed to create middle planes for the interpolation. Experimental result shows that the proposed approach produced visually pleasing full-color result images and obtained higher CPSNR and smaller S-CIELAB than other conventional demosaicking algorithms.
JIA Xiao-fen(贾晓芬), ZHAO Bai-ting(赵佰亭), ZHOU Meng-ran(周孟然), CHEN Zhao-quan(陈兆权)
(School of Electrical and Information Engineering,
Anhui University of Science & Technology, Huainan 232001, China)
Abstract:To reduce the cost, size and complexity, a consumer digital camera usually uses a single sensor overlaid with a color filter array (CFA) to sample one of the red-green-blue primary color values, and uses demosaicking algorithm to estimate the missing color values at each pixel. A novel image correlation and support vector machine (SVM) based edge-adaptive algorithm was proposed, which can reduce edge artifacts and false color artifacts, effectively. Firstly, image pixels were separated into edge region and smooth region with an edge detection algorithm. Then, a hybrid approach switching between a simple demosaicking algorithm on the smooth region and SVM based demosaicking algorithm on the edge region was performed. Image spatial and spectral correlations were employed to create middle planes for the interpolation. Experimental result shows that the proposed approach produced visually pleasing full-color result images and obtained higher CPSNR and smaller S-CIELAB than other conventional demosaicking algorithms.
Key words:demosaicking; image correlation; support vector machine; edge-adaptability
