吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1133-1138.doi: 10.7964/jdxbgxb201304046

• paper • Previous Articles     Next Articles

Underwater blurred image restoration based on parameter estimation

LI Yi-bing, FU Qiang, ZHANG Jing   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2012-07-11 Online:2013-07-01 Published:2013-07-01

Abstract:

This paper analyzes various image restoration methods for different image degradation models and discusses how to apply deconvolution to match suitable blur model first. Then, on these bases, a new method with denoising preprocessing is proposed to realize underwater image restoration without prior information. The proposed method considers the Radon transform and Fourier transform to estimate the fuzzy angle and distance in the Point Spread Function (PSF), which is simpler and more precise than other estimation methods. Simulation results show that this denoising preprocessing could inhibit the ill-posed problem of image restoration process, thus the proposed method can greatly improve the image quality and definition.

Key words: information processing, image restoration, blur type, parameter estimation, Radon transform

CLC Number: 

  • TN911.73

[1] Raimondo Schettini, Silvia Corchs. Underwater image processing: state of art of restoration and image enhancement methods//EURASIP Journal on Advances in Signal Processing, 2010:1-14.

[2] 朱殿尧, 卞红雨. 侧扫声纳目标自动探测研究[J]. 吉林大学学报:信息科学版,2008,26(6):627-631. Zhu Dian-yao, Bian Hong-yu. Image research of sidescan sonar target auto detection[J]. Journal of Jilin University(Information Science Edition),2008,26(6):627-631.

[3] 赵春晖, 李誉斐. 基于改进直方图不变矩的声呐图像识别方法[J]. 应用科技,2007,34(11):19-24. Zhao Chun-hui, Li Yu-fei. Recognition for sonar image based on improved histogram invariant moments[J]. Applied Science and Technology,2007, 34(11): 19-24.

[4] Abd-Krim Segouane. A Kullback-Leibler divergence approach to blind image restoration[J]. IEEE Transaction on Image Processing, 2011,20(7): 2078-2083.

[5] Hiloyuki Takeda, Peyman Milanfar. Removing motion blur with space-ime processing[J]. IEEE Transaction on Image Processing, 2011,20(10): 2990-3000.

[6] Michailovich Oleg V. An iterative shrinkage approach to total-variation image restoration[J]. IEEE Transaction on Image Processing, 2011,20(5): 1281-1299.

[7] Deepa Kundur, Dimitrios Hatzinakos. Blind image deconvolution[J]. IEEE Signal Processing Magazine, 1996(5): 43-64.

[8] Anat Levin, Yair Weiss, Fredo Durand, et al. Understanding blind deconvolution algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2354-2367.

[9] Peyman Milanfar. A model of the effect of image motion in the Radon transform domain[J]. IEEE Transactions on Image Processing, 1999, 8(9): 1276-1281.

[10] Liu Xian-ming, Zhao De-bin, Xiong Rui-qin. Image interpolation via regularized local linear regression[J]. IEEE Transactions on Image Processing, 2011, 20(12): 3455-3469.

[11] Gonzales Rafael C,Woods Richard E.数字图像处理[M]. (3版)阮秋琦,阮宇智译. 北京: 电子工业出版社, 2011: 218-224.

[12] 尹兵, 王延斌, 刘威. 用神经网络鉴别退化图像的模糊类型[J]. 光学技术, 2006, 32(1): 138-140. Yin Bing, Wang Yan-bin, Liu Wei. Blur identification of the degraded images by neural network[J]. Optical Technique, 2006, 32(1): 138-140.

[13] Li Da-long, Mersereau Russell M, Simske Steven. Blind image deconvolution through support vector regression[J]. IEEE Transactions on Neutral Networks, 2007, 18(3): 931-935.

[14] 王婷. 退化图像的复原改进算法研究与实现. 哈尔滨:哈尔滨工程大学, 2007. Wang Ting. The study and realization about the improved restoration algorithm of degraded image. Harbin: University of Harbin Engineering, 2007.

[15] 彭青建. 运动模糊图像复原算法研究. 西安:电子科技大学, 2010. Peng Qing-jian. Motion-blur image restoration algorithm research. Xi'an: University of ESTC, 2010.

[16] 陶青川, 邓宏彬. 基于小波变换的高斯点扩展函数估计[J]. 光学技术, 2004, 30(3): 284-288. Tao Qing-chuan, Deng Hong-bin. Wavelet transform based Gaussian point spread function estimation[J]. Optical Technique, 2004, 30(3): 284-288.

[17] 吕成淮, 何小海, 陶青川,等. 图像复原中高斯点扩展函数参数估计算法研究[J]. 计算机工程与应用, 2007, 43(10): 31-34. Lyu Cheng-huai, He Xiao-hai, Tao Qing-chuan,et al. Research on estimation algorithms for Gaussian point spread function parameter in image restoration[J]. Computer Engineering and Applications, 2007, 43(10): 31-34.

[18] Fu Qiang, Li Yi-bing, Liu Yue. Improving image quality in poor visibility with retinex-based adaptive image eenhancement method[J]. International Journal of Digital Content Technology and Its Applications, 2011, 5(10): 296-301.

[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] DONG Hui-juan, YU Zhen, FAN Ji-zhuang. Identification of non-axisymmetric ultrasonic standing wave field using laser Doppler vibrometer [J]. 吉林大学学报(工学版), 2018, 48(4): 1191-1198.
[5] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[6] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[7] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[8] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[9] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[10] GUAN Ji-shi, SHI Yao-wu, QIU Jian-wen, SHAN Ze-biao, SHI Hong-wei. New algorithm to estimate characteristic exponent of α-stable distribution [J]. 吉林大学学报(工学版), 2018, 48(2): 618-624.
[11] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[12] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[13] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[14] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[15] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!