|
|
论文:2021,Vol:39,Issue(4):824-830 |
|
|
引用本文： |
|
|
刘卫东, 李吉玉, 张文博, 李乐. 基于Retinex和ADMM优化的水下光照不均匀图像增强算法[J]. 西北工业大学学报 |
|
|
LIU Weidong, LI Jiyu, ZHANG Wenbo, LI Le. Underwater image enhancement method with non-uniform illumination based on Retinex and ADMM[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 基于Retinex和ADMM优化的水下光照不均匀图像增强算法 |
|
| 刘卫东, 李吉玉, 张文博, 李乐 |
|
| 西北工业大学 航海学院, 陕西 西安 710072 |
| 摘要: |
| 针对水下光照不均匀及光照较弱引起的成像模糊及失真问题，提出了一种基于Retinex和ADMM优化的水下图像增强方法。提取原始图像Lab空间的L分量作为初始光照图，并基于交替方向乘子法（ADMM）构造增广拉格朗日框架，对初始光照图进行优化获得精准的光照图像，并且通过伽马校正在亮度域对光照图进行进一步校正；结合Retinex理论中物体颜色恒常性的特性，求取物体的反射图像；利用双边滤波器抑制了水下噪声，获得更细致的增强图像。实验结果表明，所提的水下光照不均匀图像增强算法能有效解决因自然光或人工光源引起的光照不均匀及水下弱光照现象，提高了水下图像的质量，相较于其他算法，具有更好的性能。 |
| 关键词:
光照不均匀校正
水下图像增强
Retinex理论
交替方向乘子法
光照图估计
|
|
| Underwater image enhancement method with non-uniform illumination based on Retinex and ADMM |
|
| LIU Weidong, LI Jiyu, ZHANG Wenbo, LI Le |
|
| School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| In order to solve the image blurring and distortion problem caused by underwater non-uniform and low illumination, this paper proposes an underwater image enhancement algorithm based on the Retinex theory and the Alternating Direction Method of Multipliers (ADMM). Firstly, the L component of the original image in the Lab space is extracted as the initial illumination map, and an Augmented Lagrange Multiplier (ALM) framework is constructed based on the ADMM to optimize the initial illumination map in order to obtain an accurate illumination image. In addition, the illumination map is further corrected in the luminance region with the Gamma Correction. Secondly, combined with the color constancy characteristics in the Retinex theory, the reflected image of the object is obtained. Finally, the bilateral filter is picked to suppress the underwater noise and obtain a more detailed enhanced image. The experimental results show that the underwater image enhancement algorithm can effectively solve the non-uniform illumination problem caused by natural light or artificial light source and improve the underwater image quality, thus having a better performance than other algorithms. |
| Key words:
non-uniform illumination correction
underwater image enhancement algorithm
retinex theory
alternating direction method of multipliers(ADMM)
illumination map estimation
|
|
| 收稿日期: 2020-12-09
修回日期:
|
| DOI: 10.1051/jnwpu/20213940824 |
| 基金项目: 国家自然科学基金青年项目（61903304）、国家重点研究发展计划（2016YFC0301700）、中央高校基本科研业务费（3102020HHZY030010）、西安市科技计划（2020KJRC0119）与"111"引智计划（B18041.0）资助 |
| 通讯作者: 李乐(1986-),西北工业大学助理教授,主要从事水下机器人协同控制研究。e-mail:leli@nwpu.edu.cn
Email：leli@nwpu.edu.cn |
| 作者简介: 刘卫东(1962-),西北工业大学教授、博士生导师,主要从事水下航行器导航与控制、水下目标探测与识别研究。
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] LI C Y, GUO J C, CONG R M, et al. Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior[J]. IEEE Trans on Image Processing, 2016, 25(12):5664-5677
[2] ZHUO Li, HU Xiaochen, LI Jiafeng, et al. A naturalness-preserved low-light enhancement algorithm for intelligent analysis[J].Chinese Journal of Electronics, 2019,28(2):316-324
[3] LI L, WANG R, WANG W, et al. A low-light image enhancement method for both denoising and contrast enlarging[C]//IEEE International Conference on Image Processing, Quebec City, 2015
[4] WANG Y, HUANG Q, HU J. Adaptive enhancement for non-uniform illumination images via pixel-wise histogram modification and color reconstruction[C]//2018 IEEE 3rd International Conference on Signal and Image Processing, Shenzhen, 2018
[5] WANG D, YAN W, ZHU T, et al. An adaptive correction algorithm for non-uniform illumination panoramic images based on the improved bilateral gamma function[C]//2017 International Conference on Digital Image Computing:Techniques and Applications, Sydney, NSW, 2017
[6] HAN S, LIU W, XING W. Image enhancement based on spatial multi-scale homomorphic filtering and local entropy guided image filtering[C]//2017 IEEE 15th International Conterence on Dependable, Autonomic and Secure Computing, 15th International Conference on Pervasive Intelligence and Computing, 3rd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Orlando, FL, 2017
[7] WANG S H, ZHENG J, HU H M, et al. Naturalness preserved enhancement algorithm for non-uniform illumination images[J]. IEEE Trans on Image Processing, 2013, 22(9):3538-3548
[8] LEE S, KWON H, HAN H, et al. A Space-variant luminance map based color image enhancement[J]. IEEE Trans on Consumer Electronics, 2010, 56(4):2636-2643
[9] GAO Y, HU H M, LI B, et al. Naturalness preserved nonuniform illumination estimation for image enhancement based on retinex[J]. IEEE Trans on Multimedia, 2018, 20(99):335-344
[10] FU X, ZHUANG P, HUANG Y, et al. A retinex-based enhancing approach for single underwater image[C]//IEEE International Conference on Image Processing, Paris, 2014
[11] ZHANG W, LI G, YING Z. A New underwater image enhancing method via color correction and illumination adjustment[C]//2017 IEEE Visual Communications and Image Processing, St Petersburg, FL, 2017
[12] DREWS J P, Nascimento E, MORAES F, et al. Transmission estimation in underwater single images[C]//IEEE International Conference on Computer Vision Workshops, Sydney, NSW, 2013
[13] LAND E H. The retinex theory of color vision[J]. Scientific American,1977,237(6):108-128
[14] LEE S. An efficient content-based image enhancement in the compressed domain using retinex theory[J]. IEEE Trans on Circuits & Systems for Video Technology, 2007, 17(2):199-213
[15] PATIL P D, KUMBHAR A D. Bilateral filter for image denoising[C]//International Conference on Green Computing & Internet of Things,Noida, 2015
[16] LEE S, HAN H, KWAK B, et al. Color image enhancement method using a space-variant luminance map[C]//Digest of Technical Papers International Conference on Consumer Electronics, 2010
[17] JOBSON D J, RAHMAN Z, WOODELL G A. Properties and performance of a center/surround retinex[J]. IEEE Trans on Image Processing, 1997, 6(3):451-462
[18] MITTAL A, SOUNDARARAJAN R. Making a ‘completely blind’ image quality analyzer[J]. IEEE Signal Processing Letters, 2013, 20(3):209-212 |
|
|
|
|
|
|
|
