TY - JOUR
T1 - 基于梯度方向的反马赛克算法
AU - Zhong, Shun'an
AU - Guo, Yuhao
AU - Ma, Yue
AU - Ren, Shiwei
AU - Wang, Weijiang
N1 - Publisher Copyright:
© 2021, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.
PY - 2021/3
Y1 - 2021/3
N2 - At present, many problems exist in the anti-mosaic algorithm used in digital image acquisition system, such as serious interpolation pseudo-image and large computation. In order to solve the above problems, an anti-mosaic algorithm based on gradient direction was proposed to improve the demosaicking performance in practical application. Firstly, the horizontal and vertical gradients of the current pixel position were computed, and the G channel was interpolated accordingly. Then, the R channel and B channel were interpolated based on bilinear algorithm with the calibration of G channel. And this algorithm was compared with other typical algorithms from the perspective of composite peak signal noise ratio (CPSNR) and computation. The comparison results show that the proposed algorithm can consume lower computation amount and achieve excellent performance of demosaicking processing. In future, with its higher cost-effective feature, it will be used in real-time imaging and other high-tech fields.
AB - At present, many problems exist in the anti-mosaic algorithm used in digital image acquisition system, such as serious interpolation pseudo-image and large computation. In order to solve the above problems, an anti-mosaic algorithm based on gradient direction was proposed to improve the demosaicking performance in practical application. Firstly, the horizontal and vertical gradients of the current pixel position were computed, and the G channel was interpolated accordingly. Then, the R channel and B channel were interpolated based on bilinear algorithm with the calibration of G channel. And this algorithm was compared with other typical algorithms from the perspective of composite peak signal noise ratio (CPSNR) and computation. The comparison results show that the proposed algorithm can consume lower computation amount and achieve excellent performance of demosaicking processing. In future, with its higher cost-effective feature, it will be used in real-time imaging and other high-tech fields.
KW - Color filter array
KW - Demosaicking
KW - Gradient direction
UR - http://www.scopus.com/inward/record.url?scp=85105614050&partnerID=8YFLogxK
U2 - 10.15918/j.tbit1001-0645.2019.325
DO - 10.15918/j.tbit1001-0645.2019.325
M3 - 文章
AN - SCOPUS:85105614050
SN - 1001-0645
VL - 41
SP - 322
EP - 326
JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
IS - 3
ER -