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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.

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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 -

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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

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