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作 者:罗潇[1,2] 孙海江[1,2] 陈秋萍[1,2] 陈静[1,2] 王延杰[1]
机构地区:[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院研究生院,北京100039
出 处:《中国光学与应用光学》2010年第2期182-187,共6页Chinese Optics and Applied Optics Abstracts
摘 要:为了减少算法的计算量,保证系统的实时性,本文针对Bayer格式图像提出了一种有效的彩色复原插值算法。插值过程中利用了人眼的视觉特性,能够更精确地得到图像的亮度信息和边缘信息。利用彩色图像的边缘特性更精确地复原了边缘处的R、G、B值。算法最终解为一系列5×5大小稀疏的线性滤波器,其复杂度低,实现简单,能在计算机各种嵌入式处理器中完成实时处理。实验证明,本算法的峰值信噪比(PSNR)比通常采用的双线性算法高4~6 db,且有效地减少了插值算法中出现的锯齿现象,使图像彩色的复原性和实时性比双线性算法更优越,具有一定的应用价值。This paper presents an effective interpolation restoration algorithm for color images in Bayer format to reduce the computational complexity and improve its real time property.Based on the characteristics of human visual system in the interpolation process,the more accurate brightness information and edge information of the image can be obtained.Owing to edge information,more accurate values of R,G,B can be recovered.The final solution of the algorithm is a series sparse linear filters with sizes of 5 × 5.It has a lower complexity and can be processed easily in the embedded processors of computers in real time.Experiments show that the Peak Signal to Noise Ratio(PSNR) of this algorithm is higher 4-6 db than that of the common bilinear algorithm.Furthermore,it effectively reduces the sawtooth phenomenon occurred in the interpolation algorithm and shows that its recover ability and real time property is superior to that of the traditional bilinear interpolation.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术] TN919.8[自动化与计算机技术—计算机科学与技术]
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