基于Bayer格式图像的实时色彩还原算法

王麓; 徐弘基; 王若溪; 孙畅; 常玉春

doi:10.3788/YJYXS20193403.0310

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基于Bayer格式图像的实时色彩还原算法

图像处理 | 更新时间：2020-07-05

- 基于Bayer格式图像的实时色彩还原算法
- Real-time color reduction algorithm based on Bayer format
- 液晶与显示 2019年34卷第3期页码：310-316
- 作者机构：
  
  吉林大学电子科学与工程学院, 吉林长春 130012
- 作者简介：
  
  [ "王麓(1992-), 女, 吉林长春人, 硕士研究生, 2016年于吉林大学获得学士学位, 主要从事CMOS相机的图像采集与处理的硬件设计及目标识别的研究。E-mail:wanglu1912@mails.jlu.edu.cn" ]
  [ "常玉春(1973-), 男, 吉林长春人, 教授, 博士生导师, 2002年于吉林大学获得博士学位, 主要研究方向数模混合集成电路设计, 专用集成电路设计, CMOS图像处理器及图像信号处理电路与技术等。E-mail:changyc@jlu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金青年科学基金项目(61602432);Young Scientists Found of the National Natural Science Foundation of China(61602432)
- DOI：10.3788/YJYXS20193403.0310
  中图分类号： TN919
- 收稿日期：2018-08-05，
  
  录用日期：2018-9-23，
  
  纸质出版日期：2019-03
- 稿件说明：
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王麓, 徐弘基, 王若溪, 等. 基于Bayer格式图像的实时色彩还原算法[J]. 液晶与显示, 2019,34(3):310-316.

Lu WANG, Hong-ji XU, Ruo-xi WANG, et al. Real-time color reduction algorithm based on Bayer format[J]. Chinese journal of liquid crystals and displays, 2019, 34(3): 310-316.
王麓, 徐弘基, 王若溪, 等. 基于Bayer格式图像的实时色彩还原算法[J]. 液晶与显示, 2019,34(3):310-316. DOI： 10.3788/YJYXS20193403.0310.

Lu WANG, Hong-ji XU, Ruo-xi WANG, et al. Real-time color reduction algorithm based on Bayer format[J]. Chinese journal of liquid crystals and displays, 2019, 34(3): 310-316. DOI： 10.3788/YJYXS20193403.0310.

摘要

为了实现大面阵高帧频CMOS相机输出的Bayer格式图像的实时精准还原，恢复其真实色彩，减少整幅图像（特别是边缘图像）的色彩失真，提出一个既能够准确还原图像色彩又能够尽量减少复杂性的算法。首先对目标图像进行预处理，即将图像进行扩大，整幅图像采用统一算法进行色彩还原，以减少边缘处像素单独还原所增加的计算量。而后利用改进的梯度插值，通过计算一个5×5邻域内的水平梯度边缘值和竖直梯度边缘值，统计其两个方向边缘值的和来对边界方向进行仲裁。最后利用G分量插值结果对其他两分量进行还原，从而大大减小了传统算法所引入的色彩失真。用MSE、PSNR两种方法对本文提出的改进算法进行评估，结果表明本方法能够改善图像色彩还原程度、锐化图像边缘、提升计算效率、减少色彩失真。该方法可以实现12k×5k@10 f/s的图像数据实时色彩还原。本算法不仅色彩还原优于传统算法，而且适合使用FPGA实现高速图像数据的实时色彩还原。

Abstract

To achieve the accurate real-time restoration of Bayer image from the output of large area array and high frame CMOS camera

restore its true color and reduce the color distortion of the whole image (especially the edge image)

this paper proposes an algorithm that can accurately restore image colors as well as minimize complexity of algorithm. Firstly

the algorithm preprocesses the target image

that is

expands the image and use a unified algorithm to restore the entire image to reduce the amount of computation of channel of pixel at the image edge. Then the improved gradient interpolation is used to calculate the horizontal edge gradient value and vertical edge gradient value in a 5×5 neighborhood. Then

the direction of border is arbitrated by counting the sum of the two direction gradient values. Finally

the interpolation of G component is used to restore the other two components

which can greatly reduce the distortion of color introduced by the conventional algorithm. The proposed algorithm is evaluated by using MSE and PSNR methods. The proposed method can improve the color reproduction of images

sharpen the edges of images

improve the computational efficiency

and reduce the color distortion. This method can achieve 12k×5k@10 f/s image data real-time color restoration. This algorithm is not only superior to the traditional algorithm

but also beneficial to the use of FPGA to realize the real-time color restoration of high-speed image data.

关键词

Keywords

references

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