Open AccessRobust IHWT- CRT Image Watermarking using YCbCr Color Space
Author(s) -
Christy Atika Sari,
Utariyanto,
De Rosal Ignatius Moses Setiadi,
Eko Hari Rachmawanto,
Md Kamruzzaman Sarker
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1501/1/012014
Subject(s) - digital watermarking , ycbcr , artificial intelligence , computer vision , color space , rgb color model , computer science , watermark , robustness (evolution) , jpeg , chrominance , mathematics , peak signal to noise ratio , color image , data compression , image (mathematics) , image processing , luminance , biochemistry , chemistry , gene
This research proposes a watermarking method that combines Integer Haar Wavelet Transform (IHWT) and Chinese Remainder Theorem (CRT) algorithms on RGB images that are converted to YCbCr color space. The goal is to get a watermarking method that is robust, imperceptible and secure. Robust because with IHWT done on component Y as a place to insert a watermark done on the frequency domain that is resistant to attack. Whereas CRT is an insertion method in a spatial domain that is relatively more imperceptible to human vision, CRT also more secure because CRT is a cryptographic algorithm. Based on the results of the test and bookkeeping of the imperceptibility quality, the average PSNR value is above 48dB and the average SSIM is above 0.99. Whereas the robustness test proves that by using the YCbCr color space the increase in resistance occurs in Gaussian noise, JPEG compression and JPEG 2000 compression with an average NC value above 0.8.