Digital Image Processing

Namrata Gholve ¹, Shiv Sutar ², Snehal Dhokey ¹, Sayali Hande ¹

Affiliations
1 Pune, IN
2 MIT College of Engineering, Pune, IN

Abstract

Watermarking is the process of embedding data into multimedia element as an image, audio or video file for the purpose of authentication. This embedded data can later be extracted from or detected in the multimedia for security purposes. In this paper, we propose a watermarking based on combining DWT-DCT-SVD. In this technique DWT is used to decompose the color images into various frequency and time scale. Block DCT is applied on DWT coefficients of various frequencies to provide high level of robustness. DCT transformed blocks of size 4x4 are further decomposed using dual SVD technique to get singular values in which watermark is to be hidden. This method of watermarking is found to be robust and the visual watermark is recoverable without any reasonable amount of distortion even in case of attacks. Thus the method can be used to embed copyright information in the form of a visual watermark. Algorithm is tested using Lena test image in RGB and YIQ color model.

Keywords

Data Payload, Digital Video Watermarking, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), Imperceptibility, Robustness.

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Meeta Kumar ¹, Snehal Dhokey ¹, Neha Kulkarni ¹, Jayshree Deokar ¹

Affiliations
1 Department of Computer Science, MIT College of Engineering, Pune, IN

Abstract

Video watermarking has been proposed in recent years to solve the problem of illegal manipulation, copyright protection and distribution of digital video. Video Watermarking provides a means of forensic analysis for combating media piracy. In this paper, we present an effective, robust and imperceptible simulation of a video watermarking algorithm that is based on the algebraic transform of Singular Value Decomposition (SVD) where the watermark-bit information are embedded in the SVD-transformed video in a diagonal-wise fashion. The current implementation of this technology provides a forensic solution, in which each media provider marks each copy of a piece of content with a watermark specific to the consumer of the content (e.g. a distributor, a theater, etc.). In this case the provider can track pirated content back to the initial consumer. The paper also discusses the use of genetic and neural networks to be employed to optimize the watermarking requirements.

Keywords

Copyright Protection, Genetic Algorithms, SVD, Video Watermarking.

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