一种用于自适应直方图均衡化的硬件加速器

doi:10.12066/j.issn.1007-2861.2044

Abstract

Abstract:

In order to solve the problem that the dynamic histogram equalization (DHE) algorithm does not work well and that the algorithm cannot be applied flexibly, a field programmable gate array (FPGA)-based hardware accelerator design method for improved adaptive histogram equalization algorithm is proposed. The hardware accelerator improves the histogram equalization algorithm and adaptively limits the contrast stretch. It is designed in modularity after taking full advantage of the parallel architecture and abundant block storage resources that FPGA has. Experiment results show that the improved algorithm does not result in excessive enhancement, noise amplification and loss of image detail. The proposed hardware accelerator not only performs well in saving hardware resources but is effective as well in practical application. In real-time image processing, it takes only about 0.1 milliseconds for the processing of a frame image, thus making the image enhancement algorithm in real-time image processing more easily accessible.

Key words: field programmable gate array (FPGA), adaptive, histogram, hardware accelerator

CLC Number:

TP391

LU Shenyang, RAN Feng, GUO Aiying, SHEN Huaming. A hardware accelerator for adaptive histogram equalization[J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(3): 401-412.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://www.journal.shu.edu.cn/EN/10.12066/j.issn.1007-2861.2044

https://www.journal.shu.edu.cn/EN/Y2020/V26/I3/401

Figures/Tables 14

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Table 1

Fig. 10

Fig. 11

Fig. 12

Table 2

References 15

[1]	李明. 低照度图像增强技术的研究及实现[D]. 南京: 南京邮电大学, 2016.
[2]	方明, 李洪娜, 雷立宏. 低照度视频图像增强算法综述[J]. 长春理工大学学报(自然科学版), 2016,39(3):56-64.
[3]	蔡式东, 杨芳. 基于直方图修正的图像增强算法[J]. 光电子技术, 2012,32(3):155-159.
[4]	Kim B, Gim G Y, Park H J. Dynamic histogram equalization based on gray level labeling[C]// IS&T/SPIE Electronic Imaging. 2014. DOI: 10.1117/12.2042606.
[5]	Pavithra P, Sailaja T, Aishwarya P, et al. Image enhancement technique by mean partitioning of multipeaks histogram and contrast control parameters[J]. International Journal of Engineering and Technical Research, 2016,5(11):166-170.
[6]	Celik T, Tjahjadi T. Automatic image equalization and contrast enhancement using Gaussian mixture modeling[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2011,21(1):145-156. pmid: 21775265
[7]	Aquino-Morínigo P B, Lugo-Solís F R, Pinto-Roa D P, et al. Bi-histogram equalization using two plateau limits[J]. Signal Image and Video Processing, 2017,11(5):857-864.
[8]	赵晓捷, 穆冬, 薛斌党. 反距离加权插值自适应图像直方图均衡化算法[J]. 中国体视学与图像分析, 2010(1):8-12.
[9]	陈莹, 朱明. 多子直方图均衡微光图像增强及FPGA实现[J]. 中国光学, 2014,7(2):225-233.
[10]	Kokufuta K, Maruyama T. Real-time processing of contrast limited adaptive histogram equalization on FPGA[C]// IEEE International Conference on Field Programmable Logic and Applications. 2011: 155-158.
[11]	侯大勇, 曹峰, 王昱煜. 基于 FPGA 的灰度图像直方图均衡化实现[J]. 电子技术与软件工程, 2016(14):100-101.
[12]	肖君寿. 基于高性能 FPGA 的图像处理实例设计及硬件实现[D]. 上海: 复旦大学, 2013.
[13]	韩团军. 改进直方图均衡化算法及 FPGA 实现[J]. 电子器件, 2017,40(4):845-848.
[14]	武继瑞. 图像增强在 FPGA 上的高性能实现 [D]. 成都: 中国科学院研究生院(光电技术研究所), 2016.
[15]	Bhavana D, Rajesh V. Implementation of plateau histogram equalization technique on thermal images[J]. Indian Journal of Science and Technology, 2016. DOI: 10.17485/ijst/2016/v9i32/80562.

A hardware accelerator for adaptive histogram equalization

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 15

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	JIANG Tianhao, WANG Rui. Traffic accident prediction based on multi-head attention spatio-temporal graph convolutional network [J]. Journal of Shanghai University（Natural Science Edition）, 2025, 31(4): 678-690.
[2]	ZHENG Chuanxi, GU Yuandong. Design and implementation of a high-precision bidirectional synchronous rotation [J]. Journal of Shanghai University（Natural Science Edition）, 2022, 28(5): 872-882.
[3]	GAO Junjun, NI Ziyue. Alternative demand forecasting considering product feature attribute [J]. Journal of Shanghai University（Natural Science Edition）, 2021, 27(3): 573-582.
[4]	LIU Jun, MIAO Zhiyong, ZHANG Yuqi, REN Jianhua. A local stereo matching algorithm based on shaped adaptive window [J]. Journal of Shanghai University（Natural Science Edition）, 2021, 27(3): 466-480.
[5]	DUAN Xianbao, DANG Yan, QIN Ling. Application of adaptive level set method in shape optimization for Stokes problem [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(4): 671-680.
[6]	Yechen YANG, Yueli HU, Jie XU, Wenlong CHENG, Huaibo YU. Location method based on improved Gaussian filter and adaptive estimation for weighted environment parameter [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(5): 701-711.
[7]	CHEN Gaopan, XU Meihua, WANG Qi, GUO Aiying. Front-vehicle detection method based on monocular vision [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(1): 56-65.
[8]	XU Zhengze, ZHANG Wenjun. Hand segmentation from a single depth image based on histogram threshold selection and shallow CNN [J]. Journal of Shanghai University（Natural Science Edition）, 2018, 24(5): 675-685.
[9]	GONG Luming, XU Meihua, LIU Dongjun, ZHANG Fayu. Novel model of pedestrian detection based on Gaussian mixture model and HOG+SVM [J]. Journal of Shanghai University（Natural Science Edition）, 2018, 24(3): 341-351.
[10]	GUO Peng1, LI Jun2, ZHANG Haiyan3. Intelligent remote planting system based on cloud platform [J]. Journal of Shanghai University（Natural Science Edition）, 2017, 23(2): 244-251.
[11]	LU Jiajun, YANG Xuexia, DI Luqi. Design and experiment of a 915 MHz printed rectifier with adaptive power [J]. Journal of Shanghai University（Natural Science Edition）, 2016, 22(4): 381-387.
[12]	SONG Yu-fei, ZHANG Jun-jie, WANG Kai, LI Jia-qi, XUE Zi-wei, ZHENG Yue. Design and implementation of FPGA 10 Gbit/s reliable interconnect communication based on IP protocol [J]. Journal of Shanghai University（Natural Science Edition）, 2015, 21(5): 570-578.
[13]	LU Chen-hong1,2, HU Yue-li1,2, ZHOU Jun2. Self-adaptive synchronization of memory interface based on training [J]. Journal of Shanghai University（Natural Science Edition）, 2015, 21(4): 393-401.
[14]	SHEN Wen-feng, LI Feng-yong, ZHANG Xin-peng, YANG Qian-xing. Steganographic algorithm with histogram-preserving property [J]. Journal of Shanghai University（Natural Science Edition）, 2015, 21(2): 190-196.
[15]	YANG Qian-xing, LI Feng-yong, ZHANG Xin-peng, SHEN Wen-feng. Adaptive Robust Reversible Data Hiding Based on Modification of DCT Coefficient [J]. Journal of Shanghai University（Natural Science Edition）, 2014, 20(5): 605-611.