Parallel color image watermarking scheme for multiple picture object based on multithreading coding

David O. Muñoz-Ramirez, Volodymyr I. Ponomaryov, Rogelio Reyes-Reyes, Clara Cruz-Ramos, Beatriz P. Garcia-Salgado

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

1 Scopus citations

Abstract

In this paper, a novel parallel color image watermarking scheme in the frequency domain for copyright protection of Multiple Picture Object (MPO) based on multithreading coding is proposed. Designed technique consists of three steps: firstly, the color watermark is codified using the Curvelet Transform (CvT), reducing quantity of information that represents the watermark; the second step represents the embedding process of a color watermark. In the embedding process, theMPO file contains two images where each image is divided in 8x8 pixels blocks applying DCT to any block. A color watermark is inserted in the medium frequency sub-bands of each DCT block, because the modifications performed in this sub-band are less perceptible by Human Visual System (HVS). Finally, during third step, the recovering process for color watermark is performed. The proposed scheme appears to demonstrate significant improvement in processing time though possible parallelization process when moving from serial programming to the use of threads in multicore CPUs. According to numerous experiments, where the Peak Signal-to-Noise Ratio (PSNR) and Similarity Structural Index Measure (SSIM) were used as quality criteria for watermarked MPO image and the recovered color watermark, novel method is not intrusive, since it does not degrade the quality of the watermarked MPO image. Additionally, the proposed framework is resistant to the most common image processing attacks.

Original languageEnglish
Title of host publicationReal-Time Image Processing and Deep Learning 2020
EditorsNasser Kehtarnavaz, Matthias F. Carlsohn
PublisherSPIE
ISBN (Electronic)9781510635791
DOIs
StatePublished - 2020
EventReal-Time Image Processing and Deep Learning 2020 - None, United States
Duration: 27 Apr 20208 May 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11401
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceReal-Time Image Processing and Deep Learning 2020
Country/TerritoryUnited States
CityNone
Period27/04/208/05/20

Keywords

  • Color watermark
  • Copyright protection
  • MPO image
  • Multi- threading
  • Multi-core CPU
  • Multiple Picture Object
  • Watermarking

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