International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 02 Issue: 04 | July-2015 www.irjet.net p-ISSN: 2395-0072 © 2015, IRJET.NET- All Rights Reserved Page 384 A Robust Watermarking Technique for Compressed Digital Image based on Stationary Wavelet Transform and Singular Value Decomposition Naina Choubey 1 , Mahendra Kumar Pandey 2 1 Student , Electronics and Communication Department , Rustamji Institute of Technology,M.P. India 2 Assistant Professor,Electronics And Communication Department,Rustamji Institute of Technology, M.P. ,India ---------------------------------------------------------------------***------------------------------------------------------------------- Abstract - In this paper, a robust watermarking technique for digital image is proposed based on sub- band fusion using stationary wavelet transform and singular value decomposition. Here, aim of work to protect the watermark image information or hide such that assumption made like visible image is cover image and other is watermark image. Therefore, both the images decomposed with SWT into sub-bands; after that SVD compute the fusion of both approximation bands. There resultant new approximation band computer with remaining cover image of sub-bands as per the inverse SWT analysis. Proposed watermarking technique is tested with two different types of image which is natural uncompressed image and compressed image. Performance is evaluated in term of different fidelity parameter like as peak signal to noise ratio, normalize cross-correlation, these are shown the proposed technique is suitable for natural as well as compressed image. Key Words: Image watermarking, Sub-band, SWT, SVD. 1. INTRODUCTION In recent years, digitization play big role in human life as numerous applications in field of engineering, healthcare, communication, documentation and many more. Here, multimedia content like image and video is major content involves. Therefore, authentication, information security and other various issues are raised with multimedia sources and content. Digital data can be stored efficiently and with a very high quality, and it can be manipulated very easily using Computers. Furthermore, digital data can be transmitted in a fast and inexpensive way through data communication networks without losing quality. Digital media offer several distinct advantages over analog media. The quality of digital audio, images and video signals are better than that of their analog counterparts. Editing is easy because one can access the exact discrete locations that need to be changed. Copying is simple with no loss of fidelity and a copy of a digital media is identical to the original [1-5]. Generally, the image watermarking can be done in spatial domain or in transform domain [6-24]. The quality of watermarked image can be determined based on some important factors given like as: Firstly, in imperceptibility the quality of original image must not be changed due to the watermark [5] [6]. Secondly, robustness of image, in this the watermark removal is difficult in case of different types of attacks like noise addition, compression, scaling and rotation etc. [7] [8]. Thirdly, in capacity the most information is embedded in spatial domain as well as in transformation domain. But there are some disadvantages in both spatial and transformation domain like in spatial domain it is not much robust against image processing attacks [9, 22-24]. Where as in transformation domain it is not simple and fast as in case of spatial domain, but is having better robust against image processing techniques, so DCT, DWT transformation techniques are mostly used. Nowadays, mostly DWT is being used. We know that the discrete wavelet transform (DWT) suffers a drawback; the DWT is not a time invariant transform. This means that, even with periodic signal extension, the DWT of a translated version of a signal X is not, in general, the translated version of the DWT of X. To avoid this, the idea to average some slightly different DWT, known as stationary wavelet transform (SWT) or un-decimated wavelet transform is proposed. The main advantage of SWT is image de-noising. Therefore, SWT is widely used in image analysis and image processing. In this paper, proposed SWT based robust digital image watermarking algorithm. The proposed technique is also compared with some of the present existing techniques to show the efficiency of the proposed method. In this paper, new analysis and development for image watermarking based on sub-band coding using transform techniques. The proposed method is also framed around the watermarking in compressed domain; it can provide the secure and authentic multimedia with numerous benefit of compression. )tǯs presents the novel watermarking scheme in