Transform Domain Block Based Watermarking using Spatial Frequency and SVD
Sachin Gaur1, Vinay Kumar Srivastava2

1Sachin Gaur Asst. Professor, Department, of Computer Science and Engineering,, Uttarakhand Technical University, BTKIT Dwarahat, Uttarakhand, India. 

2Vinay Kumar Srivastava, Professor, Department, of Electronics and Communication Engineering, MNNIT, Allahabad, Uttar Pradesh India. 

Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 154-162 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: K113309811S19/2019©BEIESP | DOI: 10.35940/ijitee.I1123.0789S419

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: Digital image watermarking has been proposed to protect the digital multimedia content. The main objectives of watermarking scheme are robustness, reliability, security against numerous attacks. To improve the imperceptibility, robustness and capacity of the watermarked image, this paper presents a transform domain watermarking method using spatial frequency and block SVD. The spatial frequency is used to select the appropriate blocks for embedding the watermark image by transforming the SVD coefficients of these blocks of the cover image. In this paper first we scramble the cover image by ZIG-ZAG sequencing and then rearranged. After that Shift Invariant Discrete Wavelet Transformed (SIDWT) cover image is partioned in to non-overlapping blocks. Then find out the spatial frequency of these blocks, those blocks which spatial frequency value greater than threshold value are selected for embedding process. Now the watermark image directly embedded by modifying the SVD coefficient of these blocks and get watermarked image. Then inverse process is applied for extracting for watermark image form noisy image. Experimental outcomes show that the proposed scheme is higher imperceptible, robust against various image processing attacks and produce improved results as compared to previous presented schemes

Keywords: Shift Invariant Discrete Wavelet Transform (SIDWT), Singular Value Decomposition (SVD), Spatial Frequency (SF), NCC and PSNR.
Scope of the Article: Multimedia Communications