Low complexity demosaicing algorithm for Bayer pattern image

XU Shao-xiong; ZHANG Yu; CHEN Chang-zheng; REN Jian-yue

doi:10.3788/YJYXS20163102.0179

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Low complexity demosaicing algorithm for Bayer pattern image

Display and Image | 更新时间：2020-08-12

- Low complexity demosaicing algorithm for Bayer pattern image
- Chinese Journal of Liquid Crystals and Displays Vol. 31, Issue 2, Pages: 179-184(2016)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,100049
- 作者简介：
- 基金信息：
  
  Supported by National High Technology Research and Development Program of China(No.8
- DOI：10.3788/YJYXS20163102.0179
  CLC： TP274
- Received：03 April 2015，
  
  Revised：18 May 2015，
  
  Published：05 February 2016
- 稿件说明：
移动端阅览
徐少雄, 张宇, 陈长征等. 低复杂度Bayer图像色彩重建算法[J]. 液晶与显示, 2016,31(2): 179-184

XU Shao-xiong, ZHANG Yu, CHEN Chang-zheng etc. Low complexity demosaicing algorithm for Bayer pattern image[J]. , 2016,31(2): 179-184
徐少雄, 张宇, 陈长征等. 低复杂度Bayer图像色彩重建算法[J]. 液晶与显示, 2016,31(2): 179-184 DOI： 10.3788/YJYXS20163102.0179.

XU Shao-xiong, ZHANG Yu, CHEN Chang-zheng etc. Low complexity demosaicing algorithm for Bayer pattern image[J]. , 2016,31(2): 179-184 DOI： 10.3788/YJYXS20163102.0179.

摘要

针对Bayer图像色彩重建效果越好的算法需要越多计算量

占用越多硬件资源问题

提出了一种低复杂度的色彩重建算法。首先使用Hamilton-Adam (H-A)算法对Bayer图像进行预插值并求出色差通道

接着通过求出55模板内判断插值方向的综合梯度因子

重新更新G通道缺失像元值

最后利用已重建的G通道求出缺失的R和B通道颜色。柯达测试图仿真结果表明

相对于其他算法

所提出的算法在PSNR上有较大优势;相机输出图像的色彩重建结果表明

本文算法在判断插值方向上的准确率更高;可抑制其他算法插值后出现的斑点现象

图像边缘清晰、完整。平均每个像元

本文算法只需要56次算数运算

不需要乘法和除法运算

减轻了FPGA算法实现中IP核的负担

易于硬件实现

完全满足项目需要。

Abstract

Algorithms that have better performance also need more arithmetic operations. As a result

they will consume more hardware sources. In this paper

a new algorithm which has low complexity is proposed. Bayer pattern image is pre-interpolated by using Hamilton-Adam (H-A) algorithm firstly. Then the color-difference channel (CDC) and a direction factor (DF) in a 55 template are evaluated. Green channel is updated by using CDC and DF. R and B channel is evaluated via interpolated G channel. Simulation by Kodak test images shows that the algorithm has high PSNR. Experimental results also show that the algorithm not only maintains the sharp edges but also suppresses the speckle phenomenon which will be induced by VCD and MSG algorithm. Moreover

the algorithm just needs 56 arithmetic operations per pixel and can be accomplished via FPGA while MUL (multiplication) and DIV (division) are not needed. As a result

the proposed algorithm eases the burden of IP core in FPGA accomplishment and it's easy to be accomplished. The algorithm satisfies the needs for our camera.

关键词

Keywords

references

李华,朱波.基于FPGA的彩色图像实时采集系统设计[J].液晶与显示,2014,29(2):258-265. LI H, ZHU B. Design of real-time color image acquisition system based on FPGA [J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(2): 258-265. (in Chinese)

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梁晓芬,乔卫东,杨建峰,等.基于色差空间的Bayer图像的迭代插值算法[J].红外与激光工程,2014,43(9):3128-3133. LIANG X F, QIAO W D, YANG J F, et al. Iterative interpolation algorithm of Bayer images based on color difference space [J]. Infrared and Laser Engineering, 2014, 43(9): 3128-3133. (in Chinese)

Keigo Hirakawa, Thomas W. P. Adaptive homogeneity-directed demosaicing algorithm [J]. IEEE Transactions on Image Processing, 2005, 14(3): 360-369.

喻再光,赵群飞.基于 YCbCr 三基色插值及其在DSP上的实现[J].计算机工程与应用,2005,41(10):104-106. YU Z G, ZHAO Q F. Three-color interpolation algorithm based on YCbCr and its implementation on a DSP system[J]. Computer Engineering and Application, 2005, 41(10): 104-106. (in Chinese)

ADAMS JR J E, HAMILTON JR J F. Adaptive color plane interpolation in single sensor color electronic camera: United States, U.S. Patent 5629734[P]. 1997-07-29.

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