Performance comparison of Image watermarking using wavelet transform for different colour component of cover image

Authors: Jyoti Jain, Dr. Pankaj Dashore

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Abstract

The Performance of the DWT based watermarking technique has been established by many researchers. The embedding performance is highly different on the disturbance in the colour components of a cover image. In this paper, the performance of watermarking on embedding side and recovering side has been demonstrated with use of red green and blue part of image separately. The performance comparison in terms of RMSE, PSNR and normalized cross correlation coefficient has been given. The effect of embedding gain is established for all these parameters are given in the paper.

Introduction

The image is an effective media for information exchange. There are different copywriters has been used for the images and video. The protection of images and video is essential for these type of copywriters. The watermarking is an important technique for prevention the copywriters. Watermarking is the process that embeds data called a watermark into a multimedia object such that watermark can be detected or extracted later to make an assertion about the object. Watermarking is either “visible” or “invisible”. Although visible and invisible are visual terms watermarking is not limited to images, it can also be used to protect other types of multimedia object. A Watermarking is adding “ownership” information in the multimedia data to prove the authenticity. This technology embeds a secrete data, an unperceivable digital code, namely the watermark, carrying information about the copyright status of the work which is to be protected. Continuous efforts are being made to device an efficient watermarking schema, the techniques proposed so far not having robustness to all attacks on the multimedia and multimedia data processing operations. Considering the enormous financial implications of copyright protection, there is a need to establish a globally accepted watermarking technique. Digital audio, video, and images are increasingly furnished with distinguishing but imperceptible marks, which may contain a hidden copyright notice or serial number or even help to prevent unauthorized copying directly.

Conclusion

In this paper, the simulation of the image watermarking technique has been discussed. The watermarking system has been implemented using wavelet transform of one colour part of image. In which performance of watermarking on embedding side and recovering side has been demonstrated. It has been observed that the green colour component is less sensitive to the watermarking. Hence green colour components is showing better performance in term of NCC of embedded image, PSNR and RMSE of the secrete image.