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基于Hibbard算法的改进型插值算法

An Improved Interpolation Algorithm Based on Hibbard Algorithm
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摘要 Bayer阵列作为当今最主流的滤光片阵列,与之相关的去马赛克算法已经有了深入研究。随着数码相机和数字化技术的发展,彩色滤光片被广泛应用于各种场景中,因此对Bayer阵列插值算法的改进具有重要的应用价值。该文针对Bayer阵列,首先提出了一种基于Hibbard算法的改进型梯度插值算法。通过对RGB三通道的色彩值取对数,然后进行线性插值,得到各像素点的亮度值,再将得到的亮度值赋予Hibbard算法的对应像素点,进行亮度修正,并对还原的结果采用MSE指标评价相似程度。实验表明:该算法能够有效改善低亮度图片的恢复效果,使细节处亮度更高,视觉效果更清晰。 The Bayer array is the most mainstream filter array nowadays,and the demosaicing algorithm related to it has been deeply studied.With the development of digital cameras and digital technology,color filters are widely used in various scenes,so it has important application value to improve the Bayer array interpolation algorithm.In this paper,for Bayer arrays,an improved gradient interpolation algorithm based on the Hibbard algorithm is first proposes,then linearly interpolation is performed by taking the logarithm of the color value of RGB three channels,the brightness value of each pixel point is obtained,the obtained brightness value is given to the corresponding pixel points of the Hibbard algorithm for brightness correction,and the similarity of restored results is evaluated by the MSE index.Experiments show that this algorithm can effectively improve the restoration effect of low-luminosity pictures to make the details brighter and the visual effect clearer.
作者 张烁晨 ZHANG Shuochen(Xi'an Jiaotong University,Xi'an,Shaanxi Province,710000 China)
机构地区 西安交通大学
出处 《科技资讯》 2023年第19期21-25,34,共6页 Science & Technology Information
关键词 去马赛克算法 Bayer滤波阵列 彩色梯度插值 最小均方误差 Demosaicing algorithm Bayer filter array Color gradient interpolation Minimum mean square error
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