Title :
Algorithm of digital image watermarking technique combined with HVS
Author_Institution :
Coll. of Appl. Sci. & Technol., Beijing Union Univ., Beijing, China
Abstract :
HVS theory plays important role in the application of digital image watermarking technique. When inserting watermarking, the visual masking feature of HVS could be fully used to design digital watermarking algorithm with good perceived performance. When extracting watermarking from the damaged image, human´s visual feature could be combined to recover the damaged image so as to obtain better effect. This article combines with human visual feature to study digital watermarking technique, utilizes watermarking redundant technique to insert watermarking, extracts watermarking in line with the damage situation of watermarking, and combines with visual redundancy feature to achieve a image scrambling algorithm that is easy to recover and a recovery scheme for damaged scrambling image.
Keywords :
feature extraction; image coding; watermarking; HVS theory; digital image watermarking technique; feature extraction; human visual feature; image scrambling algorithm; recovery scheme; visual masking feature; visual redundancy feature; Artificial neural networks; Robustness; Watermarking; digital watermarking; image scrambling; visual feature;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563684