International Journal of Image, Graphics and Signal Processing(IJIGSP)
ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)
Published By: MECS Press
IJIGSP Vol.7, No.11, Oct. 2015
Enhancing Colors of a Digital Image Using Clock Algorithm
Full Text (PDF, 547KB), PP.9-15
Several commercial algorithms have been developed for color enhancement of a digital image; however, none of these are completely able to preciously process a digital image. Therefore, this article focuses upon pixel-by-pixel processing, especially in the field of color enhancement of digital image. The enhancement is performed on individual pixel by taking information from its neighborhood. This has been implemented using a clock algorithm. Clock algorithm enhancement is implemented on human visual system based hexagonal sampled pixels instead of square ones. Enhancement of each pixel is performed both locally and globally. The local enhancement is done by using wavelet normalization. It obtains different bands of information as it enables localizing the signal information both in time and frequency domain. The global enhancement is obtained through Gabor filter. The Gabor filter extracts region based information and combined information is used to recognize region of interest also Gabor filter justifies biological findings in vision system. The results after enhancement provide better visibility of minor information and finally the enhanced image is obtained.
Cite This Paper
Pooja Gupta, Kuldip Pahwa,"Enhancing Colors of a Digital Image Using Clock Algorithm", IJIGSP, vol.7, no.11, pp.9-15, 2015.DOI: 10.5815/ijigsp.2015.11.02
S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 674–693, 1989.
G. Tirunelveli, R. Gordon and S. Pistorius, "Comparison of Square-Pixel and Hexagonal-Pixel Resolution in Image Processing", IEEE Canadian Conference on Electrical and Computer Engineering, vol. 2, pp. 867-872, 2002.
T. Andrysiak, M. Choras, "Image retrieval based on hierarchical Gabor filters", International Journal of Applied Mathematics and Computer Science, vol. 15 (4), pp. 471-480, 2005.
X. He, and W. Jia, "Hexagonal Structure for Intelligent Vision", Proceeding of International Conference of Information and Communication Technologies (IEEE), Karachi, pp 52-64, September, 2005.
X. He, T. Hintz, Q. Wu, H. Wang and W. Jia, "A New Simulation of Spiral Architecture", In Proc. IPCV, pp 570-575, 2006.
D. H. Choil, "Color Image Enhancement Using Single-Scale Retinex based on an Improved Image Formation Model", 16th European Signal Processing Conference (EUSIPCO), 2008.
J. Mukherjee and S. K. Mitra, "Enhancement of Color Images by Scaling the DCT Coefficients", IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1783-1794, 2008.
W. Wang, B. Li, J. Zheng, S. Xian and J. Wang, "A Fast Multi-Scale Retinex Algorithm for Color Image Enhancement", Proc. of International Conference on Wavelet Analysis and Pattern Recognition, pp. 80-85, 2008.
S. Coleman, B. Scotney, and B. Gardiner, "Design of Feature Extraction Operators for use in Biologically Motivated Hexagonal Image Structures", Conference on Machine Vision Applications, Yokohama, Japan, pp 178-181, May 2009.
Z. Jiao and B. Xu, "An Image Enhancement Approach Using Retinex and YIQ", International Conference on Information Technology and Computer Science, pp. 476-479, 2009.
Z. Xu, H. R. Wu, X. Yu and B. Qiu, "Colour Image Enhancement by Virtual Histogram Approach", IEEE Transactions on Consumer Electronics, vol. 56(2), 2010.
H. Yang, S. Liand P. Yin," Efficient Color Image Enhancement Based on Fast and Adaptive Bidimensional Empirical Mode Decomposition", International Symposium on Computer Science and Society, pp. 319-322, 2011.
M. Hanumantharaju, M. Ravishankar, D. R. Rameshbabu and S. Ramachandran, "Color Image Enhancement using Multiscale Retinex with Modified Color Restoration Technique", Second International Conference on Emerging Applications of Information Technology, pp. 93-97, 2011.
M. Sundarama, K. Ramarb, N. Arumugama and G. Prabina, "Histogram Modified Local Contrast Enhancement for Mammogram Images", Applied Soft Computing, vol. 11, pp.5809–5816, 2011.
R. He, S. Luo, Z. Jing and Y. Fan, "Adjustable Weighting Image Contrast Enhancement Algorithm and its Implementation", 6th IEEE Conference on Industrial Electronics and Applications, pp. 1750 –1754, 2011.
S. Veni, and K. A. Narayanankutty, "Gabor Functions for Interpolation on Hegagonal Lattice", International Journal of Electronics and Communication Technology, vol. 2, Issue 1, pp.15-19, March 2011.
I. A. Humied, F. E. Z. Abou-Chadi and M. Z. Rashad, "A New Combined Technique for Automatic Contrast Enhancement of Digital Images", Egyptian Informatics Journal, vol.13, pp. 27–37, 2012.
S. Parthasarathy and P. Sankaran, "An Automated Multi Scale Retinex with Color Restoration for Image Enhancement", National Conference on Communications, 2012.
B. Kumar, P. Gupta, and K. Pahwa, "Square Pixel to Hexagonal Pixel Representation Techniques", International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 7, Issue 4, pp. 137-144, 2014.
P. Gupta, and K. Pahwa, "Visual Quality Improvement of Medical Images using Pixel Reconstruction Followed by Gabor Enhancement Technique", International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 7, Issue 4, pp. 137-144, 2014.