Image enhancement is one of the characteristic of image processing which is used for different real time application such as medical, scientific, geographical and military etc. In this paper, we mainly focus on the literature study of satellite image data enhancement. The major issues of satellite images are enhancement of gray-scale/colour image, noise, weak colour information, artifacts, distortion, large size, resolution high frequency content etc. To obtain the improved quality of satellite image various image processing techniques has been developed such as DWT, SVD, DT-CWT etc. and different authors also proposed some mechanism or algorithm of the image enhancement. This paper also presents the overview of various image enhancement techniques.

DWT, SVD, Geographical, Image Enhancement, Satlleite data

[1] P. Suganya, N. Mohanapriya, B. Kalaavathi, “Satellite image resolution enhancement using multi wavelet transform and comparison of interpolation techniques”, International Journal of Research in Engineering and Technology, eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 03 Special Issue: 07 | May-2014.
[2] Vaibhav R. Pandit, R. J. Bhiwani, “Image Fusion in Remote Sensing Applications: A Review”, International Journal of Computer Applications (0975 – 8887) Volume 120 – No.10, June 2015.
[3] Deepali M. Bongulwar “Satellite Image Enhancement”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 6, Issue 6, June 2017.
[4] Wenkao Yang, Jing Wang and Jing Guo, “A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA”, Hindawi Publishing Corporation, Mathematical Problems in Engineering, pp. 1 – 10, Volume 2013.
[5] Lasmika, K. Raveendra, "Improving Quality of Satellite Image by Wavelet Transforming & Morphological Filtering", International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319- 8753,Vol. 3, Issue 7, July 2014.
[6] Khaled SAHNOUN, Noureddine BENABADJI “On-Board Satellite Image Compression Using The Fourier Transform And Huffman Coding”
[7] Xue Mei Li “Image Enhancement in the Fractional Fourier Domain” in proceeding IEEE, 2013.
[8] Bhateja, V. “Improvement of masses detection in digital mammograms employing non-linear filtering”, Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on March 2013, Page(s): 406 – 408.
[9] Zouari, M. “A non linear stretching image enhancement technique for micro-calcification detection”, Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on March 2014, Page(s): 193 – 197.
[10] Vijay Tonder, Vivek Shukla2, Rohit Miri “Improving Quality of Satellite Images Using Enhancement Filters and Fuzzy Based Contrast Enhancement Technique”, International Journal of Innovative Research in Computer and Communication Engineering.2017
[11] Mansing Rathod, Jayashree Khanapuri “Satellite Image Resolution Enhancement Using SWT and DWT with SWT”, International Conference on Nascent Technologies in the Engineering Field (ICNTE-2017) in proceeding of IEEE.
[12] R. Aedla, G. S. Dwarakish and D. V. Reddy, "Satellite image contrast enhancement algorithm based on plateau histogram equalization," Region 10 Symposium, 2014 IEEE, Kuala Lumpur, 2014, pp. 213-218.
[13] Sos S. Agaian, Blair Silver and L. Karen A. Panetta, “Transform coefficient histogram-based image enhancement algorithms using contrast entropy” IEEE Trans. On Image Process, vol. 16,no. 3, Mar. 2007.
[14] Hasan Demirel and Gholamreza Anbarjafar, “Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement” IEEE Transactions On Geoscience And Remote Sensing, Vol. 49, No. 6, June 2011.
[15] R. C. Gonzalez and R. E. Woods “Digital Image processing (2nd Edi- tion)”. Prentice Hall, January 2002.
[16] Mallat, S.G. “Multifrequency channel decompositions of image and wavelet models “, IEEE Trans. Acoust. Speech Signal Process., 1989, 37, (12), pp. 2091–2110
[17] Chan, R.H., C.W. Ho and M. Nikolova “Salt-and pepper noise removal by median-type noise detectors and detail-preserving regularization.
[18] Mohanapriya N, Kalaavathi B “Comparative Study of Different Enhancement Techniques for Medical Images” International Journal of Computer Applications, 2013; 61(20).