Image restoration algorithm using APEX method based on dark channel prior

doi:10.3724/SP.J.1087.2011.02509

Journal of Computer Applications ›› 2011, Vol. 31 ›› Issue (09): 2509-2511.DOI: 10.3724/SP.J.1087.2011.02509

• Graphics and image technology • Previous Articles Next Articles

Image restoration algorithm using APEX method based on dark channel prior

ZHANG Yong¹,WANG Hao-xian¹,LI Fang¹,MAO Xing-peng¹,PAN Wei-min²,LIANG WEI²

1. School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai Shandong 264209, China
2. Department of Science and Technology, Qingdao Police Bureau, Qingdao Shandong 266000, China

Received:2011-03-29 Revised:2011-05-24 Online:2011-09-01 Published:2011-09-01
Contact: ZHANG Yong

基于暗原色先验的APEX图像复原算法

张勇¹,王好贤¹,李方¹,毛兴鹏¹,潘为民²,梁卫²

1. 哈尔滨工业大学(威海) 信息科学与工程学院，山东威海 264209
2. 青岛市公安局科技处，山东青岛 26600

通讯作者: 张勇
作者简介:张勇(1987-)，男，湖北赤壁人，硕士研究生，主要研究方向：数字图像处理；
王好贤(1968-)，男，山东招远人，副教授，博士，主要研究方向：图像处理、模式识别;
李方(1986-)，男，山东菏泽人，硕士研究生，主要研究方向：数字图像处理；
毛兴鹏(1972-)，男，辽宁盘锦人，教授，博士，主要研究方向：通信和雷达信号处理、电子侦察与对抗；
潘为民(1957-)，山东烟台人，工程师,主要研究方向：公安科技；
梁卫(1959-)，山东青岛人，工程师，主要研究方向：工业电器自动化。
基金资助:
国家973计划项目(2007CB310606);青岛市公共领域科技支撑计划资助项目(09-1-1-63-NSH)

Abstract

Abstract: In order to meet the demands for both availability and processing speed, in reference to dark channel prior estimation, an image restoration algorithm based on Approximate Point Spread Function Examining (APEX) algorithm commonly used in image deblurring was proposed. Meanwhile, because different-sized images under different weather conditions have different APEX parameters, the APEX parameter value was adjusted dynamically according to sandstorm and fog degree. Furthermore, unlike other multiple images methods, the proposed algorithm needs only one image to be the input. The experimental results show that the proposed algorithm is effective in restoring images. By using color constancy algorithm, the source color components were balanced; furthermore, the visual effect of images was enhanced.

Key words: image restoration, APEX algorithm, dark channel prior, dynamic parameter estimation, color constancy

摘要： 为满足有效性和处理速度的要求，结合暗原色先验的参数估计，将用于模糊处理的近似点扩展函数估计(APEX)用于天气退化图像复原。考虑到不同天气条件下、不同大小的图像其APEX参数不一致，算法能够针对不同浓度的沙尘、雾动态调整估计参数；而且与大多数多幅图像输入的复原方法不同，算法针对单幅图像进行处理。仿真结果表明算法具有很好的实用性。为进一步改善视觉效果，基于颜色恒常性能够均衡图像中光源颜色分量不均匀造成的影响，对复原图像进行了颜色恒常性处理。

关键词: 图像复原, APEX算法, 暗原色先验, 动态参数估计, 颜色恒常性

CLC Number:

TP391.41

ZHANG Yong WANG Hao-xian LI Fang MAO Xing-peng PAN Wei-min LIANG WEI. Image restoration algorithm using APEX method based on dark channel prior[J]. Journal of Computer Applications, 2011, 31(09): 2509-2511.

张勇王好贤李方毛兴鹏潘为民梁卫. 基于暗原色先验的APEX图像复原算法[J]. 计算机应用, 2011, 31(09): 2509-2511.

[1]	NIU Kangli, CHEN Yuzhang, SHEN Junfeng, ZENG Zhangfan, PAN Yongcai, WANG Yichong. Dual-channel night vision image restoration method based on deep learning [J]. Journal of Computer Applications, 2021, 41(6): 1775-1784.
[2]	GENG Yuanqian, WU Chuansheng, LIU Wen. Mixed non-convex and non-smooth regularization constraint based blind image restoration [J]. Journal of Computer Applications, 2020, 40(4): 1171-1176.
[3]	WANG Yunfei, WANG Yuanyu. MP-CGAN: night single image dehazing algorithm based on Msmall-Patch training [J]. Journal of Computer Applications, 2020, 40(3): 865-871.
[4]	YE Yang, CAI Qiong, DU Xiaobiao. Single image super-resolution method based on non-local channel attention mechanism [J]. Journal of Computer Applications, 2020, 40(12): 3618-3623.
[5]	ZHANG Li, KONG Xu, SUN Zhonggui. Matrix completion algorithm based on nonlocal self-similarity and low-rank matrix approximation [J]. Journal of Computer Applications, 2020, 40(11): 3327-3331.
[6]	LOU Mengying, YUAN Lisha, LIU Yaqin, WAN Xuemei, YANG Feng. Palm vein enhancement method based on adaptive fusion [J]. Journal of Computer Applications, 2019, 39(4): 1176-1182.
[7]	WANG Yuanyu, ZHANG Yifan, WANG Yunfei. Slices reconstruction method for single image dedusting [J]. Journal of Computer Applications, 2018, 38(4): 1117-1120.
[8]	LIU Yu, JIN Weizheng, FAN Ci'en, ZOU Lian. Fence-like occlusion detection algorithm using super-pixel segmentation and graph cuts [J]. Journal of Computer Applications, 2018, 38(1): 238-245.
[9]	WANG Zhiyi, BI Duyan, XIONG Lei, FAN Zunlin, ZHANG Xiaoyu. Text image restoration algorithm based on sparse coding and ridge regression [J]. Journal of Computer Applications, 2017, 37(9): 2648-2651.
[10]	LI Junshan, YANG Yawei, ZHU Zijiang, ZHANG Jiao. Image restoration based on natural patch likelihood and sparse prior [J]. Journal of Computer Applications, 2017, 37(8): 2319-2323.
[11]	XU Zhe, CHEN Meizhu. Modified image dehazing algorithm of traffic sign image in fog and haze weather [J]. Journal of Computer Applications, 2017, 37(8): 2329-2333.
[12]	CHEN Gaoke, YANG Yan, ZHANG Baoshan. Improved dark channel prior dehazing algorithm combined with atmospheric light and transmission [J]. Journal of Computer Applications, 2017, 37(5): 1481-1484.
[13]	ZHANG Xinming, KANG Qiang, CHENG Jinfeng, TU Qiang. Adaptive four-dot midpoint filter for removing high density salt-and-pepper noise in images [J]. Journal of Computer Applications, 2017, 37(3): 832-838.
[14]	MAO Xiangyu, LI Weixiang, DING Xuemei. Single image dehazing algorithm based on sky segmentation [J]. Journal of Computer Applications, 2017, 37(10): 2916-2920.
[15]	DONG Yufei, YANG Yan, CAO Biting. Single image in-depth dehazing algorithm based on optimization of guided image [J]. Journal of Computer Applications, 2017, 37(1): 268-272.

Image restoration algorithm using APEX method based on dark channel prior

基于暗原色先验的APEX图像复原算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics