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Walsh, Sine, Haar & Cosine Transform With Various Color Spaces for ‘Color to Gray and Back’
H. B. Kekre, Sudeep D. Thepade, Ratnesh Chaturvedi, Saurabh Gupta
Pages - 349 - 356     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
Colorization, Color to Gray and Back, Information Hiding, Color Embedding and Retrival, Color Space, Steganography
The paper shows performance comparison of various color spaces with Image transforms alias Walsh, DCT, DST & Haar for ‘Color to Gray and Back’. The color information of the image is embedded into its gray scale version/equivalent [1][2][3]. Instead of using the original color image for storage and transmission, matted gray (Gray scale version with embedded color information) can be used, resulting into better bandwidth or storage utilization. Total twenty-eight variations of the algorithm for ‘Color to Gray and Back’ are proposed and evaluated for qualitative performance using four image transforms and seven color spaces (RGB, YCbCr, YCgCb, YUV, YIQ, XYZ and Kekre’s LUV) [4]. Among all considered image transforms and color spaces, Discreet Cosine Transform (DCT) gives better performance with YCbCr color space in ‘Color to gray and Back’.
CITED BY (7)  
1 Phadikar, A., Kumar, N., Phadikar, B. S., & Maity, G. K. (2016). Video summarisation using optimum global threshold technique based on genetic algorithm. International Journal of Innovative Computing and Applications, 7(1), 1-12.
2 Kekre, H. B., Thepade, S. D., & Chaturvedi, R. N. (2014). “Color to Gray and Back” Using DST-DCT, Haar-DCT, Walsh-DCT, Hartley-DCT, Slant-DCT, Kekre-DCT Hybrid Wavelet Transforms. In Proceedings of the Third International Conference on Soft Computing for Problem Solving (pp. 613-623). Springer India.
3 Kumar, N., & Phadikar, A. (2014). Video Summarization using Color Features and Global Thresholding. Digital Signal Processing, 6(6), 198-201.
4 Kekre, H. B., Thepade, S. D., & Chaturvedi, R. N. (2013). Improved Performance for" Color to Gray and Back" using DCT-Haar, DST-Haar, Walsh-Haar, Hartley-Haar, Slant-Haar, Kekre-Haar Hybrid Wavelet Transforms. International Journal of Advanced Computer Research, 3(3), 7.
5 Kekre, H. B., Thepade, S. D., & Chaturvedi, R. (2013). „Color to Gray and back? using normalization of color components with Cosine, Haar and Walsh Wavelet. IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN, 2278-0661.
6 Kekre, H. B., & Sonawane, K. (2013). Performance evaluation of bins approach in YCbCr color space with and without scaling. International Journal of Soft Computing and Engineering, 3(3), 203-210.
7 Kekre, H. B., Thepade, S. D., & Chaturvedi, R. (2013). Information hiding for “color to gray and back” with Hartley, Slant and Kekre’s wavelet using normalization. IOSR J. Comput. Eng.(IOSR-JCE), 10(6), 50-58.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
Alfred Haar, “ZurTheorie der orthogonalenFunktionensysteme” (German),MathematischeAnnalen, Volume 69, No 3, pp 331 – 371, 1910.
Dr. H. B. Kekre, DrTanuja K. Sarode, Sudeep D. Thepade, Ms.SonalShroff, “Instigation of Orthogonal Wavelet Transforms using Walsh, Cosine, Hartley, Kekre Transforms and their use in Image Compression”, International Journal of Computer Science and Information Security, Volume 9, No 6,pp 125-133, 2011.
H. B. Kekre, Sudeep Thepade, Rik Kamal Kumar Das, Saurav Ghosh, “Image Classification using Block Truncation Coding with Assorted Color Spaces”, International Journal of Computer Applications (IJCA), Volume 44,, Number 6, April 2012. pp 9-14.
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”, 2nd International Conference on Signal Acquisition and Processing (ICSAP 2010), IACSIT,Bangalore, pp. 53-57, 9-10 Feb 2010, The paper is uploaded on online IEEE Xplore.
H.B. Kekre, Sudeep D. Thepade, Adib Parkar, “Performance Analysis of Kekre's Median Fast Search, Kekre's Centroid Fast Search and Exhaustive Search used for Colouring a Greyscale Image”, International Journal of Computer Theory and Engineering (IJCTE),Volume 2, Number 4, August 2010, pp 507-513 Available at http://www.ijcte.org/papers/193-H044.pdf
H.B. Kekre, Sudeep D. Thepade, AdibParkar, “An Extended Performance Comparison of Colour to Grey and Back using the Haar, Walsh, and Kekre Wavelet Transforms”International Journal of Advanced Computer Science and Applications (IJACSA) , 0(3),2011, pp 92 - 99.
H.B. Kekre, Sudeep D. Thepade, “Improving `Color to Gray and Back` using Kekre’s LUV Color Space.” IEEE International Advance Computing Conference 2009, (IACC 2009),Thapar University, Patiala,pp 1218-1223.
H.B. Kekre, Sudeep D. Thepade, Karan Dhamejani, Sanchit Khandelwal, Adnan Azmi,“Performance Comparison of Assorted Color Spaces for Multilevel Block Truncation Coding based Face Recognition “, International Journal of Computer Science and Information Security (IJCSIS), Volume 10, Number 3, March 2012
H.B. Kekre, Sudeep D. Thepade, VarunLodha, PoojaLuthra, Ajoy Joseph, ChitrangadaNemani,“Augmentation of Block Truncation Coding basedImage Retrieval by using Even and Odd Images with Sundry Colour Spaces”, (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 08, 2010, pp2535-2544.
J Walsh, “A closed set of normal orthogonal functions”, American Journal of Mathematics,Volume 45, No 1, pp 5 – 24, 1923.
Ricardo L. de Queiroz,Ricardo L. de Queiroz, Karen M. Braun, “Color to Gray and Back:Color Embedding into Textured Gray Images” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 15, NO. 6, JUNE 2006, pp 1464- 1470.
Dr. H. B. Kekre
NMIMS University Mumbai - India
Dr. Sudeep D. Thepade
University of Pune - India
Mr. Ratnesh Chaturvedi
MPSTME, NMIMS, Vileparle(E), Mumbai - India
Mr. Saurabh Gupta
NMIMS University Mumbai - India

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