标题:Image demosaicking for Bayer-patterned CFA images using improved linear interpolation
作者:Wang, Dongyan ;Yu, Gang ;Zhou, Xiao ;Wang, Chengyou
作者机构:[Wang, Dongyan ;Yu, Gang ;Zhou, Xiao ;Wang, Chengyou ] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai; 2642 更多
会议名称:7th International Conference on Information Science and Technology, ICIST 2017
会议日期:April 16, 2017 - April 19, 2017
来源:7th International Conference on Information Science and Technology, ICIST 2017 - Proceedings
出版年:2017
页码:464-469
DOI:10.1109/ICIST.2017.7926804
摘要:With the development of digital imaging technique, the demosaicking algorithm becomes a hot spot in the field of image processing. An efficient interpolation method with good visual quality and less calculation amount is urgently needed. In this paper, an improved linear interpolation for demosaicking of Bayer-patterned color filter array (CFA) images is proposed. Compared with bilinear interpolation, the proposed scheme gives full consideration to brightness information and edge information of the image. Since different color components need to be interpolated, different size linear filters with different gain parameters are designed. We correct the bilinear interpolation by a correction value to estimate the unknown color. Experimental results show that the improved scheme achieves better performance than other two methods both in subjective assessment and objective assessment. It incurs much fewer false colors in high-frequency regions. The zipper effect is also weakened to some extent. Besides, the improved scheme reduces the computational complexity. Due to good real-Time adaptability, it is easily implemented in hardware.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
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