List of Journals    /    Call For Papers    /    Subscriptions    /    Login
By Author By Title
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 Call For Papers CFP
 Special Issue CFP
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 Reviewer Guidelines
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 Browse CSC Library
 Open Access Policy
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Subscriptions Agents
 Order Form
Colorization of Greyscale Images Using Kekre’s Biorthogonal Color Spaces and Kekre’s Fast Codebook Generation
Full text
Advances in Multimedia - An International Journal (AMIJ)
Table of Contents
Download Complete Issue    PDF(0 Bytes)
Volume:  1    Issue:  3
Pages:  NULL
Publication Date:   December 2010
ISSN (Online): 2180-1223
49 - 58
H. B. Kekre - India
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
KEYWORDS:   KFCG, Kekre's Biorthogonal Color Space, VQ, Colorization 
This Manuscript is indexed in the following databases/websites:-
1. Google Scholar
There is no exact solution for colorization of greyscale images. The main focus of the techniques [24] is to minimise the human efforts needed in manually coloring the greyscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to greyscale image is done by techniques discussed in[1]. Here the colors from some source color image are picked up and squirted into the colored greyscale image. The color palette used in colorization technique discussed here is generated using the modified VQ codebook obtained by applying Kekre’s Fast Codebook generation algorithm. The technique is tested using various VQ codebook sizes like 64, 128, 256. In this papaer the techniques of color traits transfer to greyscale images are revisited with various color spaces like newly introduced Kekre’s Biorthogonal color spaces and RGB color space. The pixel window size used is of size 2x2. Color traits transfer to greyscale algorithms are tested over five different images for deciding the color space giving best quality of coloring. The experimental results show that the Kekre’s Biorthogonal Green color space gives better coloring. 
1 1. H.B.Kekre, Sudeep Thepde, Tanuja Sarode, “Kekre’s Fast Codebook Generation in VQ with Various Color Spaces for Colorization of greyscale Images”.
2 2. H.B.Kekre, Sudeep D. Thepade, “Color Traits Transfer to Greyscale Images”, In Proc. of IEEE –International Conference on Emerging Trends in Engineering and Technology, ICETET-2008, 16-18 July 2008, Raisoni College of Engg., Nagpur. Is uploaded and available online at IEEE Xplore CSDL, ACM Portal.
3 3. H.B.Kekre, Sudeep D. Thepade, “Colorization of Greyscale Images using Kekre’s LUV Color Space”, In Proc. of National Level Technical Paper presentation Competition THINKQUEST-2009, 14 Mar 2009, Babasaheb Gawde Institute of Technology, Mumbai
4 4. H.B.Kekre, Sudeep D. Thepade, “Algorithm for Fusion of Color and Greyscale Partial Images in Seascape Formation”, In Proc. of National Conference on Algorithms-2008, FCRCE, Bandstand, Bandra (W), Mumbai.
5 5. H.B.Kekre, Sudeep D. Thepade, Adib Parkar, “A Comparison of Kekre’s Fast Search and Exhaustive Search for various Grid Sizes used for Colouring a Greyscale Image”, In Proc. of 2nd IEEE International Conference on Signal Acquisition and Processing (ICSAP 2010), IACSIT, Bangalore, pp. 53-57, 9-10 Feb 2010.
6 6. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Adib Parkar, “Using Assorted Color Spaces and Pixel Window Sizes for Colorization of Greyscale Images”, (Selected), ACM-International Conference and Workshop on Emerging Trends in Technology (ICWET 2010), TCET, Mumbai, 26-27 Feb 2010
7 7. H.B.Kekre, Sudeep D. Thepade, “Image Blending in Vista Creation using Kekre’s LUV color Space” , Proceedings of SPIT -IEEE Colloquium and International conference. SPIT, Mumbai, 4, 5 Feb 2008.
8 8. H.B.Kekre, Sudeep D. Thepade,“Rotation Invariant Fusion of Partial Image Parts in Vista Creation using Missing View Regeneration”, WASET International Journal of Electrical Computer and Systems Engineering (IJECSE), Volume 2, Number 2, pp 94-101, 2008.
9 9. H.B.Kekre, Sudeep D. Thepade,“Boosting Block Truncation Coding with Kekre’s LUV Color Space for Image Retrieval” WASET International Journal of Electrical Computer and Systems Engineering (IJECSE), Volume 2, Number 3, pp. 172-180, Spring 2008.
10 10. H.B.Kekre, Sudeep D. Thepade, “Improving ‘Color to Grey and Back’ using Kekre’s LUV Color Space”, In Proc. of IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009. Is uploaded and available online at IEEE Xplore.
11 11. H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Non-Involutional Orthogonal Kekre’s Transform”, International Journal of Multidisciplinary Research and Advances in Engineering (IJMRAE), Ascent Publication House, 2009, Volume 1, No.I, pp 189-203, 2009. Abstract available online at
12 12. H.B.Kekre, Sudeep D. Thepade, “Improving the Performance of Image Retrieval using Partial Coefficients of Transformed Image”, International Journal of Information Retrieval, Serials Publications, Volume 2, Issue 1, 2009, pp. 72-79.
13 13. H.B.Kekre, Sudeep D. Thepade, “Creating the Color Panoramic View using Medley of Greyscale and Color Partial Images ”, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No. 3, Summer 2008. Available online at
14 14. H.B.Kekre, Sudeep D. Thepade, “Color Based Image Retrieval using Amendment Block Truncation Coding with YCbCr Color Space”, International Journal on Imaging (IJI), Volume 2, Number A09, Autumn 2009, pp. 2-14. Available online at (ISSN: 0974-0627).
15 15. R. M. Grey, “Vector quantization”, IEEE ASSP Mag., pp.: 4-29, Apr. 1984.
16 16. H. B. Kekre, Tanuja K. Sarode, “Speech Data Compression using Vector Quantization”, WASET International Journal of Computer and Information Science and Engineering (IJCISE), vol. 2, No. 4, pp.: 251-254, Fall 2008. available:
17 17. H. B. Kekre, Tanuja K. Sarode, Bhakti Raul, “Color Image Segmentation using Kekre’s Fast Codebook Generation Algorithm Based on Energy Ordering Concept”, ACM International Conference on Advances in Computing, Communication and Control (ICAC3-2009), pp.: 357-362, 23-24 Jan 2009, Fr. Conceicao Rodrigous College of Engg., Mumbai. Available on ACM portal.
18 18. H. B. Kekre, Tanuja K. Sarode, Bhakti Raul, “Color Image Segmentation using Kekre’s Algorithm for Vector Quantization”, International Journal of Computer Science (IJCS), Vol. 3, No. 4, pp.: 287-292, Fall 2008. Available:
19 19. H. B. Kekre, Tanuja K. Sarode, Bhakti Raul, “Color Image Segmentation using Vector Quantization Techniques Based on Energy Ordering Concept” International Journal of Computing Science and Communication Technologies (IJCSCT) Volume 1, Issue 2, pp: 164-171, January 2009.
20 20. H. B. Kekre, Tanuja K. Sarode, Bhakti Raul, “Color Image Segmentation Using Vector Quantization Techniques”, Advances in Engineering Science Sect. C (3), pp.: 35-42, July-September 2008.
21 21. H. B. Kekre, Kamal Shah, Tanuja K. Sarode, Sudeep D. Thepade, “Performance Comparison of Vector Quantization Technique – KFCG with LBG, Existing Transforms and PCA for Face Recognition”, International Journal of Information Retrieval (IJIR), Vol. 02, Issue 1, pp.: 64-71, 2009.
22 22. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features from DCT on VQ Codevectors obtained by Kekre’s Fast Codebook Generation”, ICGST-International Journal on Graphics, Vision and Image Processing (GVIP), Volume 9, Issue 5, pp.: 1-8, September 2009. Available online at
23 23. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Color-Texture Based Feature Based Image Retrieval using DCT applied on Kekre’s Median Codebook”, International Journal of Imaging (IJI), Volume 2, No. A09, Autumn 2009, ISSN 0974-0627. Available online at.
24 24. H. B. Kekre, Tanuja K. Sarode, “New Fast Improved Codebook Generation Algorithm for Color Images using Vector Quantization,” International Journal of Engineering and Technology, vol.1, No.1, pp.: 67-77, September 2008.
25 25. H. B. Kekre, Tanuja K. Sarode, “Fast Codebook Generation Algorithm for Color Images using Vector Quantization,” International Journal of Computer Science and Information Technology, Vol. 1, No. 1, pp.: 7-12, Jan 2009.
H. B. Kekre : Colleagues
Sudeep D.Thepade : Colleagues
Nikita Bhandari : Colleagues  
  Untitled Document
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.