Cover page and Table of Contents: PDF (size: 707KB)
Full Text (PDF, 707KB), PP.58-65
Views: 0 Downloads: 0
Color constancy, illuminant estimation, performance evaluation, Adaptive histogram Equalization, Edge preservation filter, CLAHE(Contrast Limited Adaptive Histogram Equalization)
Color constancy is an element of human vision framework which guarantees that the apparent color of items under fluctuating light conditions generally remains constant. It is fundamentally used to eliminate the color cast in the picture. Color Cat is a quick and precise learning-based methodology for accomplishing computational color constancy. However, despite everything it confronts a few limitations like poor brightness due to normalization used. Furthermore it doesn't promise edge preservation. So to overcome these issues a CEA strategy has been proposed which is a hybrid model based on Color Cat, Edge preservation filter and Adaptive histogram Equalization. As Adaptive histogram Equalization is exceptionally valuable for contrast improvement and edges are protected by edge preservation filter. Experimental results show that the proposed CEA approach outperforms over existing techniques.
Harpreet Kaur, Sandeep Sharma, "An Integrated CEA Approach for Color Light Source Estimation", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.2, pp.58-65, 2017. DOI:10.5815/ijitcs.2017.02.07
A.Gijsenij, Rui Lu,T.Gevers, "Color Constancy for Multiple Light Sources," in Image Processing, IEEE Transactions on , vol.13, no.2, pp.697-707, Feb. 2012
A.Gijsenij, T.Gevers, "Color Constancy Using Natural Image Statistics and Scene Semantics," in Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.33, no.4, pp.687-698, April 2011
J. van de Weijer, T. Gevers and A. Gijsenij, "Edge-Based Color Constancy," in IEEE Transactions on Image Processing, vol. 16, no. 9, pp. 2207-2214, Sept. 2007
N.Banic, S.Loncaric, "Improving the white patch method by subsampling," in Image Processing (ICIP), 2014 IEEE International Conference on , vol., no., pp.605-609, 27-30 Oct. 2014
"Critical Analysis of Different Color Constancy Algorithm”, [ONLINE AVAILABLE]: www.ijetae.com
A.Gijsenij,T.Gevers, J.Van de Weijer, "Computational Color Constancy: Survey and Experiments," in Image Processing, IEEE Transactions on , vol.20, no.9, pp.2475-2489, Sept. 2011
N.Banic, S.Loncaric, "Color Rabbit: Guiding the distance of local maximums in illumination estimation," in Digital Signal Processing (DSP), 2014 19th International Conference on , vol., no., pp.345-350, 20-23 Aug. 2014
G. Finlayson and S. Hordley, "Improving gamut mapping color constancy," in IEEE Transactions on Image Processing, vol. 9, no. 10, pp. 1774-1783, Oct 2000
J.Vazquez-Corral, M.Vanrell, R.Baldrich, F.Tous,"Color Constancy by Category Correlation," in Image Processing, IEEE Transactions on , vol.13, no.4, pp.1997-2007, April 2012
M.P.Lucassen,T.Gevers,A.Gijsenij, "Color fidelity of chromatic distributions by triad illuminant comparison," in IVMSP Workshop, 2011 IEEE 10th ,vol., no.,pp.1-6, 16-17 June 2011
H.R.V.Joze, M.S.Drew, "Exemplar-Based Color Constancy and Multiple Illumination," in Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.36, no.5, pp.860-873, May 2014
Hyunchan Ahn, Soobin Lee, Hwang Soo Lee, "Improving color constancy by saturation weighting," in Acoustics, Speech and Signal Processing (ICASSP), 2013
Bing Li, Weihua Xiong, Weiming Hu, Houwen Peng, "Illumination Estimation Based on Bilayer Sparse Coding," in Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on , vol., no., pp.1423-1429, 23-28 June 2013
N.Elfiky, T.Gevers, A. Gijsenij, J.Gonzalez, "Color Constancy Using 3D Scene Geometry Derived From a Single Image," in Image Processing, IEEE Transactions on , vol.23, no.9, pp.3855-3868, Sept. 2014
T.Owens,K.Saenko, A. Chakrabarti, Ying Xiong,T. Zickler,T. Darrell, "Learning object color models from multi-view constraints," in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on , vol no., pp.169-176, 20-25 June 2011
N.Banic, S.Loncaric, "Color Cat: Remembering Colors for Illumination Estimation," in Signal Processing Letters, IEEE , vol.22, no.6, pp.651-655, June 2015 Banic, N.; Loncaric, S., "Color Cat: Remembering Colors for Illumination Estimation," in Signal Processing Letters, IEEE , vol.22, no.6, pp.651-655, June 2015
Marín-Franch, I.; Foster, D.H., "Estimating Information from Image Colors: An Application to Digital Cameras and Natural Scenes," in Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.35, no.1, pp.78-91, Jan. 2013
Rezagholizadeh, M.; Clark, J.J., "Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy," in Computer and Robot Vision (CRV), 2013 International Conference on , vol., no., pp.188-195, 28-31 May 2013
Gijsenij, A.; Gevers, T.; van de Weijer, J., "Improving Color Constancy by Photometric Edge Weighting," in Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.34, no.5, pp.918-929, May 2012
Chakrabarti, A.; Hirakawa, K.; Zickler, T., "Color Constancy with Spatio-Spectral Statistics," in Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.34, no.8, pp.1509-1519, Aug. 2012
A. Choudhury and G. Medioni, "Color Constancy Using Standard Deviation of Color Channels," Pattern Recognition (ICPR), 2010 20th International Conference on, Istanbul, 2010, pp. 1722-1726
H. R. Vaezi ,Joze and M. S. Drew, "White Patch Gamut Mapping Colour Constancy," Image Processing (ICIP), 2012 19th IEEE International Conference on, Orlando, FL, 2012, pp. 801-804.
N. Banić and S. Lončarić, "Using the red chromaticity for illumination estimation," Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on, Zagreb, 2015, pp. 131-136
M. Sahani, S. K. Rout, L. M. Satpathy and A. Patra, "Design of an embedded system with modified contrast limited adaptive histogram equalization technique for real-time image enhancement," Communications and Signal Processing (ICCSP), 2015 International Conference on, Melmaruvathur, 2015, pp.0332-0335
A.Begill and S.Arora, “An Improved DCT Based Image Fusion Using Saturation Weighting And Joint Trilateral Filter,”Advances in intelligent computing 384,Springer International Publishing Switzerland 2016, pp 447-457
S. Muniyappan, A. Allirani and S. Saraswathi, "A novel approach for image enhancement by using contrast limited adaptive histogram equalization method," Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on, Tiruchengode, 2013, pp. 1-6.
R. Khan, M. Talha, A. S. Khattak and M. Qasim, "Realization of Balanced Contrast Limited Adaptive Histogram Equalization (B-CLAHE) for Adaptive Dynamic Range Compression of real time medical images," Applied Sciences and Technology (IBCAST), 2013 10th International Bhurban Conference on, Islamabad,2013,pp.117-121
T. Iwanami, T. Goto, S. Hirano and M. Sakurai, "An adaptive contrast enhancement using regional dynamic histogram equalization," 2012 IEEE International Conference on Consumer Electronics (ICCE), LasVegas,NV,2012,pp.719-722.
H. Lidong, Z. Wei, W. Jun and S. Zebin, "Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement," in IET Image Processing, vol. 9, no.10,pp.908-915,10,2015
Z. Hameed and C. Wang, "Edge detection using histogram equalization and multi-filtering process," 2011 IEEE International Symposium of Circuits and Systems (ISCAS), Rio de Janeiro, 2011, pp. 1077-1080.
Savroop Kaur, Hartej S. Dadhwal,"Biorthogonal Wavelet Transform Using Bilateral Filter and Adaptive Histogram Equalization", IJISA, vol.7, no.3, pp.37-43, 2015. DOI: 10.5815/ijisa.2015.03.05