A framework for dual watermarking scheme under fractional transform

Digital revolution has resulted in explosion of knowledge in today´s technology driven economy. Under that watermarking has been considered as the approaching technology for the communication of digital contents such as confidential data, company logo, etc. However it sustains poor quality, suffers limited robustness and reduced invisibility due to poor preprocessing of image. This paper presents a novel framework named fractional dual tree complex wavelet transform based dual watermarking (FDT-CWT-DW). The proposed method includes components such as property-inspired pixel adjustment to effectively handle both overflow and underflow of pixels for preprocessing and adopts k-means clustering algorithm for extraction in effective manner. The experimental results on the above method prove the effectiveness of the proposed framework.