• Matlab
  • Simulink
  • NS3
  • OMNET++
  • NS2

Robust image watermarking based error correction code

Generally digital watermarking is a method of embedding an image into another watermarked image in such a way that impostor is not proficient to copy the image to improve Copyright Protection. The main goal of this paper is developing a new watermarking scheme with high copyright protection. In order to achieve this in existing system employed fuzzywatermarking system by means of wavelet technique where they have realized with two phases. One is the embedding phase where the host image was embedded with the watermark image with a secret key; the LSB (Least Sigraficant Bit) technique is utilized to get the watermarked image. Second phase was extraction phase in which the watermarked image (output of first phase) which was decomposed by using Haar wavelet transform. In proposed work with the purpose of improving the embedding phase, developed an improved algorithm with the block based error correcting coding and DWT watermarking which is applied on digital images.

This work presenting a novel technique based on convolutional code to improve the robustness of the embedded watermark. The watermarking is preferred in low frequency band of the Discrete Wavelet Transform (DWT) and as a result it can refuse to accept the destruction of image processing. The Haar wavelet filters are preferred for the DWT decomposition to give recovered outcome in embedding process. Here the embedding process is done using the weighted addition rule were essentially considering the case where the host image was obtainable at the extraction, and so, host intrusion was not a problem. When we apply Inverse Discrete Wavelet Transform (IDWT) at the extraction phase the watermarked image will be retrieved. The performance of purposed watermarking method is estimated with the parameters of PSNR, MSE, SSIM, Correlation, and Entropy. Experimental results show that this proposed watermarking technique is more robust than the existing method.

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