We evaluated the resistance of image compression for the zero-watermarking-type steganography which proposed by us in 2005. As a result, even if we compressed to 1/100 of an original image, it still can extract its watermark information with an accuracy of 99% or more. We also proposed a new type of sparse filtering for low-frequency spatial extraction, and confirmed its performance by computational experiments. Finally, we mentioned a study on the relevance of the proposed filter and biological visual systems.
|ジャーナル||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|出版物ステータス||出版済み - 1 1 2015|
|イベント||13th International Workshop on Digital-Forensics and Watermarking , IWDW 2014 - Taipei, 台湾省、中華民国|
継続期間: 10 1 2014 → 10 4 2014
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)