TY - GEN
T1 - Parallel color image watermarking scheme for multiple picture object based on multithreading coding
AU - Muñoz-Ramirez, David O.
AU - Ponomaryov, Volodymyr I.
AU - Reyes-Reyes, Rogelio
AU - Cruz-Ramos, Clara
AU - Garcia-Salgado, Beatriz P.
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Color watermark
KW - Copyright protection
KW - MPO image
KW - Multi- threading
KW - Multi-core CPU
KW - Multiple Picture Object
KW - Watermarking
UR - http://www.scopus.com/inward/record.url?scp=85085729000&partnerID=8YFLogxK
U2 - 10.1117/12.2556289
DO - 10.1117/12.2556289
M3 - Contribución a la conferencia
AN - SCOPUS:85085729000
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Real-Time Image Processing and Deep Learning 2020
A2 - Kehtarnavaz, Nasser
A2 - Carlsohn, Matthias F.
PB - SPIE
T2 - Real-Time Image Processing and Deep Learning 2020
Y2 - 27 April 2020 through 8 May 2020
ER -