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首页> 外文会议>2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining >Implementation of bayer image interpolation based on FPGA
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Implementation of bayer image interpolation based on FPGA

机译：基于FPGA的Bayer图像插值的实现

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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：本文主要针对基于拜耳模板的图像重建算法。首先，根据G的信息，根据每个分量的梯度相关性，包括R，G和B，估计其他分量的梯度信息。然后获得其他分量的值。分辨率为1280 * 1024，每秒25帧的拜耳图像，由CMOS捕获，通过DVI接口输出或在插值和升格后存储在内存中。该算法在FPGA平台上得到验证。实验表明，重建图像的质量很高，PSNR高达37 dB。

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