Image Watermarking based on Saliency Detection and Multiple Transformations DOI
Ahmed Khan, KokSheik Wong, Vishnu Monn Baskaran

et al.

2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Journal Year: 2022, Volume and Issue: unknown, P. 1514 - 1518

Published: Nov. 7, 2022

An ideal image watermarking (IW) scheme aims to manage the trade-off among quality, capacity, and robustness. However, our literature survey reveals some flaws in form of poor robustness quality or low embedding capability. In this paper, multiple frequency domain based using salient (eye-catching) object detection is applied. Specifically, host watermark images are partitioned into background foreground regions by proposed multi-dimension decomposition, which accumulates patches combining them map. Next, encrypted applications 3D Arnold logistic maps, then embedded both identified different strengths. The method can embed 1 color pixel while maintaining high quality. best case scenario, we could a 24-bit as same dimension an average RGB-SSIM 0.9999. Experiments carried out (with 10K MSRA dataset images) verify performance compare against state-of-the-art (SOTA) methods.

Language: Английский

Exploring information hiding in images – problems and measures: a survey DOI
Ahmed Majeed Khan, Aaliya Sarfaraz

Multimedia Tools and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

0
Image Watermarking based on Saliency Detection and Multiple Transformations DOI
Ahmed Khan, KokSheik Wong, Vishnu Monn Baskaran

et al.

2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Journal Year: 2022, Volume and Issue: unknown, P. 1514 - 1518

Published: Nov. 7, 2022

An ideal image watermarking (IW) scheme aims to manage the trade-off among quality, capacity, and robustness. However, our literature survey reveals some flaws in form of poor robustness quality or low embedding capability. In this paper, multiple frequency domain based using salient (eye-catching) object detection is applied. Specifically, host watermark images are partitioned into background foreground regions by proposed multi-dimension decomposition, which accumulates patches combining them map. Next, encrypted applications 3D Arnold logistic maps, then embedded both identified different strengths. The method can embed 1 color pixel while maintaining high quality. best case scenario, we could a 24-bit as same dimension an average RGB-SSIM 0.9999. Experiments carried out (with 10K MSRA dataset images) verify performance compare against state-of-the-art (SOTA) methods.

Language: Английский

Citations

5