Open Access   Article Go Back

Performance Analysis of Convert a Gray Image to Color Image

P. Ravi1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 46-49, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.4649

Online published on Jul 31, 2019

Copyright © P. Ravi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: P. Ravi, “Performance Analysis of Convert a Gray Image to Color Image,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.46-49, 2019.

MLA Style Citation: P. Ravi "Performance Analysis of Convert a Gray Image to Color Image." International Journal of Computer Sciences and Engineering 7.7 (2019): 46-49.

APA Style Citation: P. Ravi, (2019). Performance Analysis of Convert a Gray Image to Color Image. International Journal of Computer Sciences and Engineering, 7(7), 46-49.

BibTex Style Citation:
@article{Ravi_2019,
author = {P. Ravi},
title = {Performance Analysis of Convert a Gray Image to Color Image},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {46-49},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4718},
doi = {https://doi.org/10.26438/ijcse/v7i7.4649}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.4649}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4718
TI - Performance Analysis of Convert a Gray Image to Color Image
T2 - International Journal of Computer Sciences and Engineering
AU - P. Ravi
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 46-49
IS - 7
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
741 546 downloads 251 downloads
  
  
           

Abstract

A simple and efficient method for coloring the gray-scale images into the color images with the existing color map or with creating a new one. The conversion of grayscale images into the color images using different algorithm methods. This color matching technique helps in adding chromatic values to a colorless image and measure for color transfer. Moderately than choosing the entire color from the source to the target image transfer RGB colors from a palette to color gray scale components, by matching difference information between the images. The target image achieved high quality with higher PSNR and lower MSE metrics. It shows that this simple method can be successfully applied to a variety of gray scale images and it can be applicable in different applications.

Key-Words / Index Term

Gray scale image, RGB image, color map, lockup table, color matching

References

[1] Rafael C. Gonzalez (University of Tennessee), Richard E. Woods (MedData Interactive) and Steven L. Eddins (The MathWorks, Inc.), in „Digital Image Processing Using MATLAB‟ Second Edition,2009 by Gatesmark, LLC.
[2] Alasdair McAndrew, in „An Introduction to Digital Image Processing with Matlab, Notes for SCM2511 Image Processing 1‟, School of Computer Science and Mathematics ,Victoria University of Technology.
[3] Justyna Inglot, „Advanced Image Processing with Matlab‟, in Bachelor‟s Thesis Information Technology, May 2012, Date of the bachelor`s thesis.
[4] Miss. Apurva B. Parandekar, Prof. S.S.Dhande, Prof. H.R.Vhyawhare, A Review on Changing Image from Grayscale to Color, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3, Issue 1, January 2014.
[5]MahmoudK. Quweider“AdaptivePseudocoloring of Medical Images Using Dynamic Optimal Partitioning and Space-FillingCurves” Biomedical Engineering and Informatics, 2009. BMEI `09. 2nd International Conference, PP. 1-6,17-19 Oct. 2009.
[6] Ye Ji, Yan Chen, “ Rendering Grayscale Image using Color Feature” IEEE Int. Conf. on Machine Learning and Cybernetics, Vol.5, pp. 3017-3021, [7] C.W.Kok, Y.Hui, T.Q.Nguyen, “Medical Image Pseudo Coloring by Wavelet Fusion” 18th Annual International Conference of theIEEE Engineering in Medicine and Biology Society. Amsterdam,1996.
[8] GovindHaldankar, AtulTikare and JayprabhaPatil, “Converting Gray-Scale Image to Color Image” Proceedings of SPIT-IEEEColloquium and International Conference, Vol. 1, pp. 189-192,Mumbai, India, June 2011
[9] Cheng-Hsiung Hsieh, Chih-Ming Lin, Fung-Jung Chang, “Pseudo coloring with Histogram Interpolation” Ninth InternationalConference on Hybrid Intelligent Systems 2009.
[10] TomihisaWelsh,MichaelAshikhmin and Klaus Mueller, “Transferring color to grayscale images”, Journal ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2002TOG, Volume 21 Issue 3, PP. 277-280 , July 2002.
[11] Rujuta R Mahambare “CONVERTING GRAY-SCALE IMAGE TOCOLOR IMAGE”, IJCITB ISSN: 2278-7593, Volume-1, Issue-4 IEEE & IEEE Computational Intelligence Society,PP.142-146, April-June 2013 Issue.
[12] Dr. AhlamFadhilMahmoodAbdulkreem Mohammad Salih, “Implementation of Multiplier less Architectures for Color Space Conversions on FPGA”,IEEE Transactions on Consume Electronics, Volume 53, Number 4, PP1490-1493,November 2004.
[13] Stephen J. Chapman, Second Edition Matlab Programming for Engineering,[2002].
[14] Ingmar Lissner, Jens Preiss,” Image-Difference Prediction:From Grayscale to Color”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 22, NO. 2, PP.435-446 FEB 2013.
[15] Sýkora, D. , Buriānek, J. and Žǎra, J. ,"Unsupervised Colorization ofBlack-and-White Cartoons" , Proceedings of NPAR, Annecy,ACM SIGGRAPH, 2004 .