DocumentCode :
573594
Title :
Adaptive watermarking in Hadamard transform coefficients of textured image blocks
Author :
Fami, Elham Shabanali ; Samavi, Shadrokh ; Kaviani, Hoda Rezaee ; Radani, Zohreh Molaei
Author_Institution :
Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
503
Lastpage :
507
Abstract :
Due to increasing of concerns amongst digital content owners, many watermarking methods have been proposed in recent years to protect copyright of digital images. These methods are classified as either spatial or frequency domain techniques. Since fidelity and robustness are important factors in watermarking, many methods have been proposed that try to increase robustness as well as preserving the fidelity. In this paper a Hadamard based watermarking algorithm is proposed that embeds a binary logo into Hadamard coefficient of image blocks. To preserve fidelity of watermarked image, proper blocks are chosen according to their entropy. Furthermore a compression method is used to decrease length of watermark in order to embed larger logo in the cover image. The experimental results and comparison to another Hadamard based method shows that proposed algorithm has increased robustness against some of image processing attacks such as JPEG compression, resizing and median filtering. Furthermore it has preserved the fidelity of watermarked image very well.
Keywords :
Hadamard transforms; copyright; image texture; image watermarking; median filters; Hadamard based watermarking algorithm; Hadamard transform coefficients; JPEG compression; adaptive watermarking; copyright protection; digital content owner; digital images; frequency domain techniques; image processing attacks; median filtering; spatial domain techniques; textured image blocks; watermarking methods; Entropy; Image coding; Image segmentation; Robustness; Transform coding; Transforms; Watermarking; Hadamard transform; copyright; image watermarking; robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
Type :
conf
DOI :
10.1109/AISP.2012.6313799
Filename :
6313799
Link To Document :
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