MAT JOURNALS
Published May 10, 2019 | Version v1
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Comparative Analysis of Image Enhancement Quality Based on Domains

Creators

  • 1. Assistant Professor, Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Manavilai, Tamil Nadu, India

Description

First method is spatial domain and the effective of four diverse image spatial techniques (histogram equalization, adaptive histogram, histogram matching, and unsharp masking) produce sharpening and smoothening of image. Secondly, frequency domain technique and the effective of three diverse image spatial techniques (bilateral, homo-morphic and trilateral filter) were examined to achieve low noise image. Finally, SVD,QR,SLANT and HADAMARD was examined whichincreased human visual. For the above techniques, different quality parameters are evaluated. From the above evaluation, the proposed method identifies the best method among the three domains.

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Additional details

References

  • ManpreetKaur, JasdeepKaur,JappreetKaur (2011), "Survey of Contrast Enhancement Techniques based on Histogram Equalization", International Journal of Advanced Computer Science and Applications, Volume 2, Issue 7,pp.137−141
  • Nicholas SiaPik Kong, Haidi Ibrahim (May 2008), "Improving the visual quality of abdominal magnetic resonance images using histogram equalization", In Technology and Applications in Biomedicine, International Conference, pp. 138−139
  • KentaroKokufuta, Tsutomu Maruyama (2010),"Real-time processing of contrast limited adaptive histogram equalization on FPGA,"International Conference on Field Programmable Logic and Applications
  • DoriShapira, ShaiAvidan,Yacov Hel-Or (2013),"Multiple Histogram Matching", IEEE Transaction on. International Conference, pp.2269−2273
  • Haidi Ibrahim, Nicholas SiaPik Kong (May 2009), "Image Sharpening Using Sub-Regions Histogram Equalization," IEEE Transactions on Consumer Electronics, Volume 55, Issue 2

Subjects

Computer Science / IT Journals
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