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Image Fusion Watermarks Using Multiresolution Wavelet Transform  

Kim Dong-Hyun (Department of Electronic Engineering, Kyung Hee University)
Ahn Chi-Hyun (Department of Electronic Engineering, Kyung Hee University)
Jun Kye-Suk (Department of Electronic Engineering, Kyung Hee University)
Lee Dae-Young (Department of Electronic Engineering, Kyung Hee University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.42, no.6, 2005 , pp. 83-92 More about this Journal
Abstract
This paper presents a watermarking approach that the 1-level Discrete Wavelet Transform(DWT) coefficients of a $64{\ast}64$ binary logo image as watermarks are inserted in LL band and other specific frequency bands of the host image using Multi-Resolution Analysis(MRA) Wavelet transform for copyright protection of image data. The DWT coefficients of the binary logo image are inserted in blocks of LL band and specific bands of the host image that the 3-level DWT has been performed in the same orientation. We investigate Significant Coefficients(SCs) in each block of the frequency areas in order to prevent the quality deterioration of the host image and the watermark is inserted by SCs. When the host image is distorted by difference of the distortion degree in each frequency, we set the thresholds of SCs on each frequency and completely insert the watermark in each frequency of the host image. In order to be invisibility of the watermark, the Human Visual System(HVS) is applied to the watermark. We prove the proper embedding method by experiment. Thereby, we rapidly detect the watermark using this watermarking method and because the small size watermarks are inserted by HVS and SCs, the results confirm the superiority of the proposed method on invisibility and robustness.
Keywords
Watermark; Multi-Resolution Analysis Discrete Wavelet Transform; Human Visual System; Image Fusion; Significant Coefficients;
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