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Enhancement of Color Images by Scaling the DCT Coefficients and Interpolation

by Elsa Alias, Jilu George
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 8
Year of Publication: 2012
Authors: Elsa Alias, Jilu George
10.5120/9709-4171

Elsa Alias, Jilu George . Enhancement of Color Images by Scaling the DCT Coefficients and Interpolation. International Journal of Computer Applications. 60, 8 ( December 2012), 1-6. DOI=10.5120/9709-4171

@article{ 10.5120/9709-4171,
author = { Elsa Alias, Jilu George },
title = { Enhancement of Color Images by Scaling the DCT Coefficients and Interpolation },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 8 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number8/9709-4171/ },
doi = { 10.5120/9709-4171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:58.940351+05:30
%A Elsa Alias
%A Jilu George
%T Enhancement of Color Images by Scaling the DCT Coefficients and Interpolation
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 8
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the enhancement of color images in the frequency domain with interpolation. The novelty in our approach is the treatment of the chromatic components, while previous techniques treated only the luminance components and the enhanced image is interpolated with bicubic interpolation. After interpolation, the interpolated surface is smoother than corresponding surface obtained by the enhancement. The treatment of chromatic components improves the visual quality of the images to a great extent. The proposed technique, is more efficient than the spatial domain method. This paper investigate how we can increase the number of pixels and there by smoothening the enhanced surface.

References
  1. Jayantha Mukherjee, Sanjit K Mitra, , "enhancement of color images by scaling the DCT coefficients" ieee transaction on image processing, vol 17, no. 10, October 2008.
  2. D. J. Jobson, Z. Rahman, and G. A. Woodell, "A multi-scale retinex or bridging the gap between color images and the human observation of scenes," IEEE Trans. Image Process. , vol. 6, no. 7, pp. 965–976, Jul. 1997.
  3. D. J. Jobson, Z. Rahman, and G. A. Woodell, "Properties and performance of a center/surround retinex," IEEE Trans. Image Process. , vol. 6, no. 3, pp. 451–462, Mar. 1997.
  4. S. -H. Jung, S. K. Mitra, and D. Mukherjee, "Subband DCT: Definition, analysis and applications," IEEE Trans. Circuits Syst. Video Technol. , vol. 6, no. 3, pp. 273–286, Jun. 1996.
  5. S. K. Mitra and T. H. Yu, "Transform amplitude sharpening: A new method of image enhancement," Comput. Vis. Graph. Image Process. , vol. 40, pp. 205–218, 1987.
  6. S. Lee, "An efficient content-based image enhancement in the domain using retinex theory," IEEE Trans. Circuits Syst. Video Technol. , vol. 17, no. 2, pp. 199–213, Feb. 2007.
  7. T. K. De, "A simple programmable S-function for digital image," in Proc. 4th IEEE Region 10th Int. Conf. , Bombay, India, Nov. 1989, pp. 573–576.
  8. S. K. Mitra and T. H. Yu, "Transform amplitude sharpening: A new method of image enhancement," Comput. Vis. Graph. Image Process. , vol. 40, pp. 205–218, 1987.
  9. P. E. Trahanias and A. N. Venetsanopoulos, "Color image enhancement through 3-D histogram equalization," in Proc. 11th IAPR Int. Conf. Pattern Recognition, The Hague, The Netherlands, Aug. 30–Sep. 3, 1992, vol. III, pp. 545–548.
  10. Akhtar P,AzharF, " A single image interpolation scheme for enhanced super resolution in bio-medical imaging", international conference on bio-informatics, New York ,2010.
  11. T. N. Pappas and R. J. Safranek, "Perceptual criteria for image quality evaluation," in Handbook of Image and Video Processing, A. C. Bovik, Ed. New York: Academic, May 2000.
  12. "Special issue on image and video quality metrics," Signal Process. vol. 70, Nov. 1998.
  13. J. -B. Martens and L. Meesters, "Image dissimilarity," Signal Process. ,vol. 70, pp. 155–176, Nov. 1998.
  14. (2000, Mar. ) Final report from the video quality experts group on the validation of objective models of video quality assessment. [Online]. Available: http://www. vqeg. org/
Index Terms

Computer Science
Information Sciences

Keywords

color image enhancement discrete cosine transform Y-Cb-Cr color space DC-AC coefficients bicubic interpolation

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