Abstract

paper presents an invisible robust blind digital watermarking algorithm using adaptive and distributed quantization in contourlet domain for colour images. In the proposed watermarking scheme, the blue plane of the colour image is decomposed into series of multiscale, local and directional sub images using contourlet transform. The low frequency component of the transform is divided into non overlapping blocks, into which Arnold scrambled binary watermark is embedded, with help of adaptive quantization step value of each block. A blind detection algorithm is employed for the watermark recovery process, which does not require the original image. Experimental results show that the proposed algorithm is highly resistant to attacks such as JPEG compression, noising, cropping etc. The proposed method is compared with an odd-even quantization based technique and the results prove that the adaptive quantization based technique gives better robustness, under similar conditions.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.