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QR Code with Colored Image

by Kanchan S. Jahagirdar, S.b. Borse
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 16
Year of Publication: 2015
Authors: Kanchan S. Jahagirdar, S.b. Borse

Kanchan S. Jahagirdar, S.b. Borse . QR Code with Colored Image. International Journal of Computer Applications. 115, 16 ( April 2015), 38-41. DOI=10.5120/20237-2526

@article{ 10.5120/20237-2526,
author = { Kanchan S. Jahagirdar, S.b. Borse },
title = { QR Code with Colored Image },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 16 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-41 },
numpages = {9},
url = { },
doi = { 10.5120/20237-2526 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:55:01.765651+05:30
%A Kanchan S. Jahagirdar
%A S.b. Borse
%T QR Code with Colored Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 16
%P 38-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

It is a direct method to insert vital information using QR codes into color images with minimal probability of error detection. With standard decoding applications these insertions of vital information using QR code into color codes are suitable. It takes benefits of the support of QR readers against interruption of image luminance moreover, the vital information in QR code bits are transformed into the luminance values of the image. Multiresolution halftoning masks algorithm uses for the selection of modified pixels and nonlinear programming techniques with which pixel of the images are transformed into luminance level, to reduce the visual distortion of the QR image. Here a QR code with colored image is proposed with new multiresolution technique to minimize processing time.

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Index Terms

Computer Science
Information Sciences


Quick response Multiresolution halftoning