Title :
Gray Image Watermark Method Based on Fractal Compression
Author :
Yongqiang, Chen ; Lisen, Peng ; Hanping, Hu
Author_Institution :
Sch. of Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
Abstract :
Considering the image compressibility and the error allowance of decoded image, this paper presents a high-capacity image watermark method based on fractal compression in the wavelet transform domain. Fractal compression technique is used to encode a gray image and the fractal codes are embedded into the wavelet coefficients of the gray image according to well-connected watermark algorithm. After watermark extracted, the gotten codes may be decoded into an image identified to owner. Through the validation of the experiments, this watermark method has good performance of data compression.
Keywords :
data compression; feature extraction; fractals; image coding; watermarking; wavelet transforms; data compression; fractal codes; fractal compression; gray image watermark method; image compressibility; image decoding; wavelet transform; Automation; Compression algorithms; Computer science; Data mining; Decoding; Educational institutions; Fractals; Frequency domain analysis; Image coding; Watermarking; DWT; fractal image coding; image compression; image watermark;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.261
