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QR Code with Colored Image
Author(s) -
Kanchan S.Jahagirdar,
Santosh Borse
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20237-2526
Subject(s) - computer science , luminance , computer vision , code (set theory) , pixel , artificial intelligence , decoding methods , distortion (music) , colored , image (mathematics) , computer graphics (images) , algorithm , telecommunications , set (abstract data type) , programming language , amplifier , materials science , bandwidth (computing) , composite material
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. General Terms Quick response, Multiresolution halftoning

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