Recent Image Enhancement Techniques: A Review
Akanksha Singh1, Sini Shibu2, Shatendra Dubey3
1Akanksha Singh, M. Tech Scholar, Department of Computer Engineering, NRIIST College, Bhopal, India.
2Sini Shibu, Asst. Prof, Department of Computer Engineering, NRIIST College, Bhopal, India.
3Shatendra Dubey, Asst. Prof, Department of Computer Engineering, NRIIST College, Bhopal, India.
Manuscript received on September 27, 2014. | Revised Manuscript received on October 10, 2014. | Manuscript published on October 30, 2014. | PP: 40-45 | Volume-4 Issue-1, October 2014. | Retrieval Number: A3439104114/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper reviews various image enhancement techniques both in spatial and frequency domains and compared them to suggest a method for a high SNR, enhanced and perceptually clearer images while preserving the image`s original colour. Histogram equalisation, low pass filter, fuzzy based image enhancement, Stochastic Resonance in different domains and colour enhancement techniques are being discussed and their effectiveness is gauged and to compare them with various available image enhancement techniques using well defined performance matrices and performance parameters.
Keywords: Image enhancement, DCT, DWT, Noise, Stochastic Resonance.