Embedded Color Image Enhancement System Based on DSP and FPGA

WANG Jing-xuan; YIN Chuan-li

doi:10.3788/YJYXS20132803.0459

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Embedded Color Image Enhancement System Based on DSP and FPGA

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Embedded Color Image Enhancement System Based on DSP and FPGA
- Chinese Journal of Liquid Crystals and Displays Vol. 28, Issue 3, Pages: 459-463(2013)
- 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,130033
  2. 中国科学院大学北京,100049
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20132803.0459
  CLC： TP394.1;TH691.9
- Received：31 December 2012，
  
  Revised：19 February 2013，
  
  Published Online：16 April 2013，
  
  Published：15 June 2013
- 稿件说明：
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王静轩, 尹传历. 基于DSP和FPGA的嵌入式实时图像增强系统[J]. 液晶与显示, 2013,28(3): 459-463

WANG Jing-xuan, YIN Chuan-li. Embedded Color Image Enhancement System Based on DSP and FPGA[J]. , 2013,28(3): 459-463
王静轩, 尹传历. 基于DSP和FPGA的嵌入式实时图像增强系统[J]. 液晶与显示, 2013,28(3): 459-463 DOI： 10.3788/YJYXS20132803.0459.

WANG Jing-xuan, YIN Chuan-li. Embedded Color Image Enhancement System Based on DSP and FPGA[J]. , 2013,28(3): 459-463 DOI： 10.3788/YJYXS20132803.0459.

摘要

为了获得更加清晰、更高质量的图像

设计了以高性能DSP芯片TMS320VC6455作为中央处理器

结合现场可编程门阵列FPGA构成外围电路逻辑控制的嵌入式高速图像增强处理平台

并提出了一种新的快速自适应图像增强算法。首先将彩色图像从RGB空间转化为HIS空间

然后对亮度空间进行多尺度Retinex增强处理

最后进行对比度调节处理并转化到RGB空间进行输出。利用真实图像验证了本文提出的方法

实验结果表明

该系统可以有效地提高对比度

获得了较好的增强效果

同时计算时间少

能够满足工程中的需要。

Abstract

In order to get clearer and more qualitative image

an embedded high speed image enhancement processing system on high performance DSP TMS320C6455 and FPGA was designed

and a new fast color image enhancement algorithm is presented. First

the color image is transformed from RGB to HIS. Then multi-scale retinex algorithm is adopted in the brightness image. Finally the color image is transformed from RGB to HIS. Experimental results with real images show that the system can improve the contrast of the fog-degraded image

effectively enhance the color image and shorten the running time of the program

which can meet the project.

关键词

Keywords

references

Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images [J]. IEEE Transactionson Pattern Analysis and Machine Intelligence, 2003,25(6):132-724.[2] Tank, Oakley J P. Enhancement of color images in poor visibility conditions[C]//Proceedings of IEEE Iternational Conference on Image Processing. Vancouver, Canada: IEEE press, 2000, 788-791.[3] Zhai Y U, Liu X M. An improved fog-degraded image enhancement algorithm [J].Wavelet Analysis and Pattern Recognition, 2007,12(2):522-529.[4] Laurence Meylan, Sabine Süsstrunk. High dynamic range image rendering with a retinex-based adaptive filter [J]. IEEE Trans. on Image Processing, 2006, 15(9):2820-2830.[5] 赵全友,潘保昌,郑胜林. 复杂光照下的两步法颜色恒常性增强 [J]. 光学精密工程, 2009. 4(17):859-866.[6] Rahman Z, Jobson D J, Woodell G A. Retinex processing for automatic image enhancement [J]. Journal of Electronic Imaging, 2004, 13(1):100-110.[7] Meylan L, Süsstrunk S. Color image enhancement using a Retinex-based adaptive filter[C]//Second European Conference on Color in Graphics, Image, and Vision,Germany:Spring field, VA:Society for Imaging Science and Technology, 2004(2):359-363.[8] Kimmel R, Elad M, Shaked D. A variational framework for retinex [J]. International Journal of Computer Vision, 2003, 52(1):7-23.[9] Funt B, Ciurea F, McCann J. Retinex in matlab [J]. Journal of Electronic Imaging, 2004, 13(1):48-57.[10] 关澈,王延杰. CCD相机实时自动调光系统 [J]. 光学精密工程, 2008,2(16):358-366.[11] 尹传历,刘冬梅,宋建中. 一种嵌入式实时跟踪系统的设计与实现 [J]. 电视技术, 2008,1(32):85-87.[12] 许廷发,秦庆旺,倪国强. 基于DM642融合系统的ATrous小波实时图像融合算法 [J]. 光学精密工程, 2008,10(16):2045-2050.[13] 尹传历. 基于双目立体视觉的三维测量技术研究[D]. 长春:中科院长春光机所博士论文,2008:4.[14] 邓建青, 刘晶红, 刘铁军. 基于DSP系统的超分辨率图像重建技术研究 [J]. 液晶与显示, 2012,27(1):114-120.[15] 黄梅,吴志勇,梁敏华,等. 暗背景下低灰度图像的实时增强 [J]. 液晶与显示, 2011,26(3):374-378.[16] 王田,刘伟宁,孙海江,等. 基于复杂度和方向梯度的红外弱小目标检测方法 [J]. 液晶与显示, 2012,27(5):692-696.

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