A Self-adaptive Digital Watermarking Algorithm Based on Wavelet Transform

This paper proposed a digital watermarking algorithm based on discrete wavelet transform (DWT), which can achieve the purpose of embedding hidden watermarks by decompose three-level wavelet of image and decompose bit-plane of watermarking gray scale image by Arnold scrambling transformation. Layer adaptive threshold and quantizer were referenced in this algorithm, and which adaptive selected coefficient of detail subbands of embedded watermarking to improve the robustness of the watermarking. In testing of semi-blind watermarking, renewing of watermarking based on the embedding sequence of point locations and the quantizer sequence without participation of the original image. Experimental results show that the algorithm is effective to improve the robustness of the cut, adding noise, filtering, and compression image attack treatment.