Abstract

This paper presents a robust watermarking for still digital images based on a Slant transform, discrete wavelet transforms and Singular Value Decomposition (SVD). The cover image is transformed using discrete wavelet transform and singular value decomposition while watermark image is transformed using slant transform. It is watermarked by replacing singular values of the high-frequency and low-frequency component of an original image by that of slant transformed watermarks. Experimental results show that our method guarantees the robust resistance against no attack and the robustness against common image processing attacks such as JPEG compression, cropping, histogram equalization, sharpening etc.

Details

Title
A Semi-Blind Watermarking of Color Images Using Slant Transform, DWT and SVD
Author
Koju, Roshan; Shashidhar Ram Joshi
First page
62
Publication year
2017
Publication date
Mar 2017
Publisher
Modern Education and Computer Science Press
ISSN
20749074
e-ISSN
20749082
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1886765550
Copyright
Copyright Modern Education and Computer Science Press Mar 2017