logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Digital Watermarking Using Complex Wavelets Patrick Loo

  • SKU: BELL-1352074
Digital Watermarking Using Complex Wavelets Patrick Loo
$ 31.00 $ 45.00 (-31%)

4.7

46 reviews

Digital Watermarking Using Complex Wavelets Patrick Loo instant download after payment.

Publisher: LAP Lambert Academic Publishing
File Extension: PDF
File size: 1.93 MB
Pages: 187
Author: Patrick Loo
ISBN: 9783838336787, 383833678X
Language: English
Year: 2010

Product desciption

Digital Watermarking Using Complex Wavelets Patrick Loo by Patrick Loo 9783838336787, 383833678X instant download after payment.

Digital watermarks emerged in the last decade as a possible solution for protecting the copyright of digital materials. We introduce complex wavelets as a novel transform for watermarking images. The complex wavelets transform has similar properties to the human visual system and experimental results show that watermarking systems designed using complex wavelets have good performance. Two different watermarking systems are considered here. The first one is based on the principles of spread spectrum communications. An alternative matched filter is proposed for watermark decoding, which is shown to have better performance than the conventional matched filter, when the underlying signal is non-stationary. The second watermarking algorithm is based on a hybrid combination between quantisation and spread spectrum techniques. This is due to the fact that watermarking can be considered as communication with side information. Finally, we suggest ways in which the watermark decoder performance can be improved when the watermarked image is attacked, in particular under three scenarios: compression, geometric distortion and denoising.

Related Products