In this paper we present the effect of channel coding on the performance of data hiding in images. The bit error rate (BER) associated with the watermark decoding is obtained when convolutional and concatenated codes are employed. The approach is adapted to make retrieval possible for applications where the original host is not available to the receiver. Experimental results are shown for both algorithms.
In this work, a robust data embedding scheme, which uses a source and channel coding framework for data hiding is implemented. The data to be embedded, referred to as the signature data, comprises of two different data types, text messages and images as the signature data. The first data type used was the text message, where the text message is converted into bits and these bits are coded using Reed- Solomon codes, and the resulting code is hidden into the wavelet transformed coefficients of the host image. For hiding images as signature data, an image is used as large as 128 X 128 to be hidden into a host image of size 256 X 256. The perturbations are controlled by a maximum allowable visible distortion that can be introduced in the host using a model of the human visual perception. This method could be used for both digital watermarking related applications as well as for data hiding purposes.
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