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A Study of Transform Domain based Image Enhancement Techniques

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Gurwinder Kaur, Mandeep Kaur

Gurwinder Kaur and Mandeep Kaur. A Study of Transform Domain based Image Enhancement Techniques. International Journal of Computer Applications 152(9):25-29, October 2016. BibTeX

	author = {Gurwinder Kaur and Mandeep Kaur},
	title = {A Study of Transform Domain based Image Enhancement Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {9},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {25-29},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016911858},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


An alteration of the low complexity upgrades strategies that are in light of the singular value decomposition (SVD) for saving the mean brightness of a given picture. In spite of the fact that the SVD structured systems upgrade the reduced complexity pictures by scaling its particular worth grid, they may neglect to deliver palatable results for some low difference pictures. The weighted total of solitary lattices of the data picture and its global histogram equalization (GHE) picture is ascertained to get the particular quality framework of the leveled picture. It outflanks the routine picture evening out, for example, GHE and nearby histogram balance (LHE) and in addition the SVD systems that in light of scaling its particular quality both subjectively and quantitatively. The DWT technique can produce better quantitative measurements over the other methods.


  1. Atta, Randa, and Rabab Farouk Abdel-Kader. "Brightness preserving based on singular value decomposition for image contrast enhancement." Optik-International Journal for Light and Electron Optics 126, no. 7 : 799-803, 2015.
  2. Bhandari, A. K., Anil Kumar, G. K. Singh, and Vivek Soni. "Dark satellite image enhancement using knee transfer function and gamma correction based on DWT–SVD." Multidimensional Systems and Signal Processing : 1-24, 2015.
  3. Ghosh, Soham, Sourya Roy, Utkarsh Kumar, and Arijit Mallick. "Gray Level Image Enhancement Using Cuckoo Search Algorithm." In Advances in Signal Processing and Intelligent Recognition Systems, pp. 275-286. Springer International Publishing, 2014
  4. Mathew, Ammu Anna, and S. Kamatchi. "Brightness and Resolution Enhancement of Satellite Images using SVD and DWT." International Journal of Engineering Trends and Technology 4, no. 4 : 712-718, 2013.
  5. Gupta, Nidhi, and Rajib Jha. "Enhancement of High Dynamic Range Dark Images Using Internal Noise in DWT Domain." In Intelligent Interactive Technologies and Multimedia, pp. 66-74. Springer Berlin Heidelberg, 2013.
  6. Huang, Shih-Chia and Chien-Hui Yeh. "Image contrast enhancement for preserving mean brightness without losing image features." Engineering Applications of Artificial Intelligence 26, no. 5 : 1487-1492, 2013.
  7. Xie, Zhihua. "Single sample face recognition based on dct and local Gabor binary pattern histogram." In Intelligent Computing Theories, pp. 435-442. Springer Berlin Heidelberg, 2013.
  8. Lee, Edward, Sungho Kim, Wei Kang, Daeban Seo, and Jamie Paik. "Contrast enhancement using dominant brightness level analysis and adaptive intensity transformation for remote sensing images." Geoscience and Remote Sensing Letters, IEEE 10, no. 1 : 62-66, 2013.
  9. Wen, Haocheng, Yonghong Tian, Tiejun Huang, and Wen Gao "Single underwater image enhancement with a new optical model." In Circuits and Systems, IEEE International Symposium on, pp. 753-756, 2013.
  10. Gupta, Kanika, and Akshu Gupta. "Image enhancement using ant colony optimization." IOSR J. VLSI Signal Process 1 : 38, 2012.
  11. Khan, Nafis Uddin, K. V. Arya, and Manisha Pattanaik. "A New Adaptive Thresholding in SVD for Efficient Image De-noising." In Proceedings of the International Conference on Soft Computing for Problem Solving, pp. 659-670. Springer India, 2012.
  12. Demirel, Hasan, and Gholamreza Anbarjafari. "Discrete wavelet transform-based satellite image resolution enhancement." Geoscience and Remote Sensing, IEEE Transactions on 49, no. 6: 1997-2004 2011.
  13. Braik, Malik, Alaa F. Sheta, and Aladdin Ayesh. "Image Enhancement Using Particle Swarm Optimization." In World congress on engineering, vol. 1, pp. 978-988. 2007.
  14. Munteanu, Cristian, and Agostinho Rosa. "Gray-scale image enhancement as an automatic process driven by evolution." Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 34, no. 2 : 1292-1298, 2004.


Image Enhancement, DWT, DCT, SVD