This study proposes an effective DWT-based watermarking technique for inserting gray-scale logos as a watermark in photos to attest the owner's identity and deter unauthorised duplication. The method transfers both the host image and the hidden watermark into the discrete wavelet domain, where their coefficients are merged adaptively based on the Human Visual System (HVS) model, to hide a higher energy hidden watermark in noticeable picture components. The method combines the watermark coefficients at several resolution levels of the host image, resulting in the watermark's simultaneous spatial localization and frequency dispersion, as well as its robustness against diverse attacks. The proposed method, according to simulation findings, is resistant to a wide range of attacks, including image compression, linear and non-linear filtering, noise addition, image resizing, cropping, and enhancement, among others.
Author(S) Details
T. Mita Kumari
Department Electronics and Communication Engineering, Parala Maharaja Engineering College Berhampur, India.
Gayadhar Panda
Department of Electrical Engineering, Indira Gandhi Institute of Technology organization, Sarang, Orissa, India.
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