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Implementation of bayer image interpolation based on FPGA

机译:基于FPGA的拜耳图像插值的实施

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摘要

This paper is mainly about an image reconstruction algorithm, which based on bayer template. First, to estimate other components' gradient information through the information of G, according to each component's gradient correlation, including R, G and B. And then get other component's values. The bayer image, whose resolution ratio is 1280*1024, 25 frames per second, captured by CMOS, is output by DVI interface or stored in memory after being interpolated and raised frame. The algorithm is verified on FPGA platform. The experiment shows that the reconstruction image's quality is very high and the PSNR is high to 37 dB.
机译:本文主要涉及一种基于拜耳模板的图像重建算法。首先,根据每个组件的梯度相关性,包括G,包括R,G和B,估计其他组件的梯度信息。然后获得其他组件的值。拜耳图像,其分辨率为1280 * 1024,由CMOS捕获的每秒25帧,由DVI接口输出,或者在内插和升高框架后存储在内存中。算法在FPGA平台上验证。实验表明,重建图像的质量非常高,PSNR高达37 dB。

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