AN ADAPTIVE COLOR PLANE INTERPOLATION METHOD BASED ON EDGE DETECTION  

作　　者：Cheng Yongqiang Xie Keming Zhou Yingfeng Liu Yanlong 

机构地区：[1]College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China

出　　处：《Journal of Electronics(China)》2007年第2期261-266,共6页电子科学学刊（英文版）

基　　金：Supported by the Natural Science Foundation of Shanxi Province (No.20051019).

摘　　要：In this letter, an adaptive interpolation algorithm based on edge detection is proposed. With this algorithm, all the missing green values can be reconstructed in Bayer pattern image by using edge detection interpolation method. Reconstructed images composed of green pixels are classified according to the high frequency components in image, and the threshold T needed for all kinds of green images in the edge detection is determined through experiments. The edge detection is carried out based on the one Dimensional (1D) gradient operator. If the gradient value is greater than T, this pixel is located on the edge; otherwise the pixel is in the smooth area of the image. Finally, the simple bilinear interpolation is used for the smooth area while the Laplacian interpolation with the second-order correction term is adopted to reconstruct the other red/blue values on the edge. This algorithm resolves effectively the conflicts between reconstructing high quality color image and reducing computational complexity, and thus largely enhances the processing speed for the reconstructed color image.In this letter, an adaptive interpolation algorithm based on edge detection is proposed. With this algorithm, all the missing green values can be reconstructed in Bayer pattern image by using edge detection interpolation method. Reconstructed images composed of green pixels are classified according to the high frequency components in image, and the threshold T needed for all kinds of green images in the edge detection is determined through experiments. The edge detection is carried out based on the one Dimensional （1D） gradient operator. If the gradient value is greater than T, this pixel is located on the edge; otherwise the pixel is in the smooth area of the image. Finally, the simple bilinear interpolation is used for the smooth area while the Laplacian interpolation with the second-order correction term is adopted to reconstruct the other red/blue values on the edge. This algorithm resolves effectively the conflicts between reconstructing high quality color image and reducing computational complexity, and thus largely enhances the processing speed for the reconstructed color image.

关 键 词：Color filter array Bayer pattern Color Filter Array （CFA） interpolation Edge detection 

分 类 号：TN911.73[电子电信—通信与信息系统]