一种基于半梯度边缘插值的图像重建算法

N. Zhou, Shaozhong Lv, Lijie Zhang
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引用次数: 0

摘要

针对传统去马赛克算法重建拜耳彩色滤波阵列图像时存在的伪色和边缘锯齿问题,提出了一种基于半梯度边缘插值的图像重建算法。该算法利用绿色分量的一阶微分、蓝色分量和红色分量的二阶微分计算绿色通道的水平梯度和垂直梯度,并沿梯度较小的方向恢复绿色分量;它使用半梯度作为插值操作的权值参数,并使用恢复的绿色分量作为插值操作中的校正量来恢复红色分量和蓝色分量。实验结果表明,该算法比传统的双线性插值算法和边缘定向插值算法提高了至少1.19db,能够更有效地改善重建图像的伪彩色效果和边缘锯齿效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An image reconstruction algorithm based on semi-gradient edge-oriented interpolation
Aiming at the pseudo-color and edge jaggedness problems in the reconstruction of Bayer color filtered array images by traditional demosaicing algorithm, an image reconstruction algorithm based on semi-gradient edge-oriented interpolation is proposed. The algorithm uses the first-order differentiation of the green component, the second-order differentiation of the blue component and the red component to calculate the horizontal gradient and vertical gradient of the green channel, and recovers the green component along the direction with smaller gradient; it uses the semi-gradient as the weight parameter of the interpolation operation, and uses the recovered green component as the correction quantity in the interpolation operation to recover the red component and the blue component. The experimental results show that the algorithm improves at least 1.19db over the traditional bilinear interpolation algorithm and edge-oriented interpolation algorithm, and can improve the pseudo color effect and edge jagged effect of the reconstructed image more effectively.
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