Dayanand G Savakar; Shivanand Pujar

Digital Image Watermarking Using DWT and FWHT

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Author(s)

Dayanand G Savakar ^1,* Shivanand Pujar ²

1. Department of Computer Science, P.G. Halakatti, Post Graduate Centre, Rani Channamma University, Vijayapur-586108, Karnataka, India

2. r, Department of Computer Science, Rani Channamma University, Belagavi-591156, Karnataka, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2018.06.06

Received: 22 Dec. 2017 / Revised: 7 Mar. 2018 / Accepted: 20 Apr. 2018 / Published: 8 Jun. 2018

Index Terms

Digital Image Watermarking, copyright protection, authentication, DWT (Discrete Wavelet Transformation), FWHT (Fast Walsh-Hadamard Transformation), PSNR (Peak Signal to Noise Ratio), NCC(Normalized Cross-Correlation)

Abstract

Digital Image Watermarking is a process of embedding a known data into an Image. Several techniques are developed to embed a watermark into a known cover image. Digital image watermarking provides security like copyright protection, ownership, and authentication to the images. In this paper, a new robust image watermarking and the watermark extraction algorithm is proposed using DWT-FWHT transformation. The watermarking algorithm further calculates the peak-signal to noise ratio(PSNR) values on the selected images and the extraction process involves the process of correlating the extracted watermark with the original watermark for various sub-bands of discrete wavelet transformation. The digital image watermarking algorithms using discrete wavelet transformation have been identified to be more prevalent as compared to those with the other watermarking algorithms. This is due to the wavelets high spatial localization, frequency spread, and multi-resolution characteristic features which are much similar to that of the theoretical models of the human visual system.

Cite This Paper

Dayanand G. Savakar, Shivanand Pujar ," Digital Image Watermarking Using DWT and FWHT ", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.6, pp. 50-67, 2018. DOI: 10.5815/ijigsp.2018.06.06

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International Journal of Image, Graphics and Signal Processing (IJIGSP)