Improve the Quality of Remote Sensing Geographical Images Using ConventionalMethods and Discrete Wavelet Transform: A Survey
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-2 |
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| Year of Publication : 2019 | ||
| Authors : Nidhi Sharma, Lalit. P. Bhaiya | ||
| DOI : 10.14445/22312803/IJCTT-V67I2P108 |
MLA Style: Nidhi Sharma, Lalit. P. Bhaiya, "Improve the Quality of Remote Sensing Geographical Images Using ConventionalMethods and Discrete Wavelet Transform: A Survey" International Journal of Computer Trends and Technology 67.2 (2019): 54-59.
APA Style:Nidhi Sharma, Lalit. P. Bhaiya, VNKSSD Aditya Babu, (2019). Improve the Quality of Remote Sensing Geographical Images Using ConventionalMethods and Discrete Wavelet Transform: A Survey. International Journal of Computer Trends and Technology, 67(2), 54-59.
Abstract
Image enhancement is one of the most striking field of image processing and most of the researchers are very much interested in different image enhancement techniques because using this technique we can get good quality of image. Remote Sensing images mostly corrupted by noise and small dust particles during transmission so for such type of images lots of traditional methods have been applied for enhancement purpose like histogram equalization contrast setting increasing resolution that is super resolution technique edge sharpness techniques etc. but in recent few years lots of researchers found discrete wavelet transform as a new and most powerful technique for enhancement of Remote sensing geographical images. In this paper we are going to discuss some traditional methods as well as discrete cosine transform and discrete wavelet transform methods that are used for enhancement purpose. through this paper we want to contribute for the researchers to find out the correct and husband method for their problem
Reference
[1] Vartika Singh, Gourav Kumar, Geetika Aurora. Analytical Evaluation for the Enhancement of Satellite Image using Swarm Intelligence Technques. 2016 International Conference on Computing for Sustainable Global Development (INDIACom). 978-9-3805-4421- 2/16/$31.00 ©2016 IEEE.
[2] Aditi Sharma, Ajay Khunteta. Satellite Image Contrast and Resolution Enhancement using Discrete Wavelet Transform and Singular Value Decomposition. International Conference on Emerging Trends in Electrical, Electronics and Sustainable Energy Systems IEEE.
[3] Shubin Zhao, Hua Han and Silong Peng “Wavelet- domain HMT-based image super resolution” 0-7803-7750-8/03/$17.00 02003 IEEE.
[4] HasanDemirel and GholamrezaAnbarjafari, “Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition”, IEEE Transaction. On Image Processing, vol. 20, no.5, 2011.
[5] Jinshan Tang Eli Peli and Scott Acton “Image Enhancement Using a Contrast Measure in the Compressed Domain” ,IEEE Signal processing Letters,Vol.10,No.10,October 2003.
[6] M.Abdullah –Al-Wadud,Md.HasanulKabir,M.AliAkberDewan and Oskam Chae ,” A Dynamic Histogram equalization for image contrast enhancement “,IEEETrans.Consumer Electron,Vol.53,no.2,pp 593-600, May 2007.
[7] Tarun Mahashwari, Amit Asthana”Imageehnacement using fuzzy techniques” IJRREST,Vol.2,Issue2,June-2013.
[8] P.Rasti, M. Daneshmand, F. Alisinanoglu, C. Ozcinar and G. Anbarjafari, "Medical image illumination enhancement and sharpening by using stationary wavelet transform," 2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, 2016, pp. 153-156.
[9] S.W.Kim, B. D. Choi, W. J. Park and S. J. Ko, "2D histogram equalisation based on the human visual system," in Electronics Letters, vol. 52, no. 6, pp. 443- 445, 3 17 2016.
[10] G.Senthamarai and K. Santhi, "Dynamic multihistogram equalization for image contrast enhancement with improved brightness preservation," Electronics and Communication Systems (ICECS), 2015 2nd International Conference on, Coimbatore, 2015, pp. 1205-1209.
[11] Jinwen Yang, WeiheZhong And Zheng Miao, “On the image enhancement histogram processing,” 2016 3rd international conference on informative and cybernetics for computational social systems (ICCSS).
[12] Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, Pearson Education publication, third edition, pp 127-325, 2009
[13] E. E. Kerre, Fuzzy sets and Approximate Reasoning, Xian, China: Xian Jiaotong Univ. Press, 1998
[14] P.Pratibha, D. Kranti Kumar, D. Deepak Kumar, “Enhancing the Quality of Remote sensing geographical images by Pre processing and Contrast Enhancement,” ICCSP17, 2017.
[15] S. Brindha, “Remote sensing geographical image Enrichment Using DISCRETE WAVELETE TRANSFORM– SVD and Segmentation Using MRR –MRF Model”, Journal of Network Communications and Emerging Technologies, Volume 1, Issue 1, March ,2015.
[16] Neeraj Varma, “IMAGE ENRICHMENT USING DISCRETE WAVELETE TRANSFORM”, International Journal of Computer Science and Mobile Computing, Volume 3, Issue 12, pp. 514 – 520, December, 2014.
[17] R. Thriveni and Ramashri, “Edge preserving Remote sensing geographical image enhancement using DISCRETE WAVELETE TRANSFORM-PCA based fusion and morphological gradient,” Proc. 2015 IEEE Int. Conf. Electr. Comput. Commun. Technol. ICECCT 2015, 2015.
[18] B. D. Jadhav, “An Effective method for Remote sensing geographical image Enhancement,” Int. Conf. Comput. Autom., pp. 1171–1175, 2015.
[19] A.Sharma and A. Khunteta, “Remote sensing geographical image Enhancement using Discrete Wavelet Transform, Singular Value Decomposition and its Noise Performance Analysis,” 2016 Int. Conf. MicroElectronicsTelecommun. Eng., pp. 594–599, 2016.
[20] M. Ekta, S. Ankita,” Survey on Various Wavelets Based and Fuzzy Based Methods for Remote sensing geographical image Enhancement”, International Journal of Computer Trends and Technology (IJCTT) – Volume 57 Number 2- March 2018.
[21] Vasileios Syrris, Stefano Ferri, Daniele Ehrlich, and Martino Pesaresi, “Image Enhancement and Feature Extraction Based on Low-Resolution Satellite Data” IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing, 2015.
[22] Brindha S., “Sattelite Image Enhancement Using DWT, SVD and segmentation using MRR, MRF Model” Journal of Network Communications and Emerging Technologies(JNCET), vol.1 isuue 1, March 2015.
Keywords
geographical images, discrete wavelet transform, edge enhancement, sharpening, smoothening.