Parallel blind semi-fragil color image watermarking based on fast discrete cosine transform

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a completely blind semi-fragile color image watermarking method for copyright protection is proposed. The embedding algorithm is performed by swapping three pairs of mid-frequency coefficients in each 8 by 8 Discrete Cosine Transform (DCT) non-overlapped block of the fast-discrete cosine transform algorithm that utilizes the eigenvectors of a symmetric "second difference" matrix in order to achieve higher computation performance. The simplicity of the embedding, extraction and DCT computation methods, offers a significant advantage in shorter processing time. Experimental results demonstrate the watermark imperceptibility with high PSNR and SSIM values of the watermarked image (of 45 dB and 0.948, respectively); additionally, the 2D binary watermark embedded such as company trademarks or owner's logotype can be extracted with completely blind extraction process, i.e. without the original carrier image, original watermark nor any other information derivative of them are required. Average normalized correlation of the extracted binary watermark is of 0.91 even if the watermarked image was attacked by scaling, noise addition or JPEG compression. The simulation results of the parallel implementation in multicore CPU of the proposed method have shown more efficient and effective in real-time implementation of image watermarking than commonly used DCT techniques.

Original languageEnglish
Title of host publicationReal-Time Image Processing and Deep Learning 2019
EditorsNasser Kehtarnavaz, Matthias F. Carlsohn
PublisherSPIE
ISBN (Electronic)9781510626577
DOIs
StatePublished - 2019
EventReal-Time Image Processing and Deep Learning 2019 - Baltimore, United States
Duration: 15 Apr 201916 Apr 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10996
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceReal-Time Image Processing and Deep Learning 2019
Country/TerritoryUnited States
CityBaltimore
Period15/04/1916/04/19

Keywords

  • Blind extraction
  • Copyright protection
  • Fast 2D-DCT
  • Parallel computing
  • Semi-fragile Watermarking

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