IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 1,January 2012
Remote Sensing Image Restoration Using Various Techniques:A Review
Full Text(PDF, )  PP.3I0-315  
Er.Neha Gulati,Er.Ajay Kaushik
Image Restoration,Degradation model, Richardson-Lucy algorithm,Wiener filter, Neural Netw ork,Blind Deconvolution
In the imaging process of the remote sensing ,there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation, the remote sensing images were restored to give prominence to the characteristic objects in the images.the images were restored. IMAGE restoration is an important issue in high-level image processing..The purpose of image restoration is to estimate the original image from the degraded data. It is widely used in various fields of applications, such as medical imaging, astronomical imaging, remote sensing, microscopy imaging, photography deblurring, and forensic science, etc. Restoration is beneficial to interpreting and analyzing the remote sensing images. After restoration, the blur phenomenon of the images is reduced. The characters are highlighted, and the visual effect of the images is clearer. In this paper different image restoration techniques like Richardson-Lucy algorithm, Wiener filter, Neural Network,Blind Deconvolution.
[1] C. Helstrom, “Image Restoration by the Method of Least Squares”, J. Opt. Soc.Amer., 57(3): 297-303, March 1967.

[2] H. C. Andrews and B. R. Hunt, “Digital Image Restoration”, Prentice Hall, Englewood Cliff NJ, 1977.

[3] R.H.T. Bates, Image Restoration and Reconstruction, Clarendon, Oxforf, 1986.

[4] R. L. Lagendijk, J. Biemond, and D. E. Boekee, “Blur identification using the expectation-maximization algorithm,” in Proc. IEEE. Int. Conf. Acoustics, Speech, Signal Process., vol. 37, Dec. 1989, pp. 1397-1400.

[5] M. M. Chang, A. M. Tekalp, and A. T. Erdem, “Blur identification using the bispectrum,” IEEE Trans. Acoust., Speech, Signal Process., vol. 39, no. 5, pp. 2323-2325, Oct. 1991.

[6] R. C. Gonzalez and R. Woods, Digital Image Processing, Addison-Wesley Publishing Company, 1993.

[7] D. Kundur and D. Hatzinakos, “A novel blind deconvolution scheme for image restoration using recursive filtering,” IEEE Trans. Signal Process., vol. 46, no. 2, pp. 375-390, Feb. 1998.

[8] P. C. Hansen, Rank-Deficient and Discrete Ill-Posed Problems, Philadelphia, SIAM, 1998.

[9] Prieto (eds.) Bio-inspired Applications of Connectionism. Lecture Notes in Computer Science, Vol. 2085 Springer-Verlag, Berlin Heidelberg New York (2001) 369-374.

[10] Erhan A.İnce, Ali S. Awad, “Karesel Hata Ölçütü Ve Seçilmiş Bir Eşik Derine Bağlı Tek-Boyutlu Netleştirme Yöntemi”, SİU 2001, Turkey, no.9, vol.1, pp.366-369, 25 April, 2001.

[11] Aizenberg I., Bregin T., Butakoff C., Karnaukhov V., Merzlyakov N. and Milukova O., "Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration". In: J.R. Dorronsoro (ed.) Lecture Notes in Computer Science, Vol. 2415, Springer-Verlag, Berlin, Heidelberg, New York (2002) 1231-1236.

[12] Neelamani R., Choi H., and Baraniuk R. G., "Forward: Fourier-wavelet regularized deconvolution for illconditioned systems", IEEE Trans. on Signal Processing, Vol. 52, No 2 (2003) 418-433.

[13] Muezzinoglu M. K., Guzelis C. and Zurada J. M., "A New Design Method for the Complex-Valued Multistate Hopfield Associative Memory", IEEE Trans. on Neural Networks, Vol. 14, No 4 (2003) 891-899.

[14] Z. J. Liu, C. Y. Wang, and C. F. Luo, “Estimation of CBERS-1 point spread function and image restoration,” Journal of Remote Sensing, vol. 8, No. 3, pp. 234-238, May 2004.

[15] Aizenberg I., Paliy D. and Astola, J.T. “Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem”, accepted to the IEEE World Congress on Computational Intelligence, Vancouver, to appear: July, 2006 Katkovnik V., Egiazarian K. and Astola J., "A spatially adaptive nonparametric image deblurring", IEEE Transactions on Image Processing, Vol. 14, No. 10 (2005) 1469-1478.

[16] Q. Chen, Q. Y. Dai, and D. S. Xia, “Restoration of remote sensing images based on MTF theroy,” Journal of Image and Graphics, vol. 11, No. 9, pp. 1299-1305, Sep 2006.

[17]SunJijuan,MinXiangjun,GuYingqi1,ZengYong,WuBaibi ng,The Linear Feature Based on-orbit MTF Estimation and Image Restoration of Mid-resolution Space Remote Sensor,[J]. ,Spacecraft Recovery and Remote Sensing, 2006,27(2):28-33.

[18] R. C. Gonzalez, and R. E. Woods, Digital Image Processing SecondEdition. Beijing: Publishing House of Electronics Industry, 2007.

[19] Y. N. Xu, Y. Zhao, L. P. Liu, and X. D. Sun, “Parameter identification of point spread function in noisy and blur images,” vol. 17, No. 11, pp. 2849-2856, Nov 2009.

[20] Ali Said Ali Awad, "A Comparision Between Previously known and Two Novel Image Restoration Algorithm".

[21]Xu Yuanjing,Wang Qiaojue,Shen Huanfeng,Li Pingxiang,Zhang Hongyan,A Remote Sensing Image Restoration Method Estimation and Regularization Model,[J]. Journal of Geomatics,2010(6).

Untitled Page