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  • 标题:Comparison of Discrete Cosine Transforms (DCT), Discrete Fourier Transforms (DFT), and Discrete Wavelet Transforms (DWT) in Digital Image Watermarking
  • 本地全文:下载
  • 作者:Rosa A Asmara ; Reza Agustina ; Hidayatulloh
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2017
  • 卷号:8
  • 期号:2
  • DOI:10.14569/IJACSA.2017.080232
  • 出版社:Science and Information Society (SAI)
  • 摘要:Digital Image Watermarking is used recently to secure the image by embedding another digital image. It is typically used to identify ownership of the copyright of the signal. Frequency domain transformation methods used widely in Digital Image Compression and Digital Image Watermarking. They reduce the weakness of classics digital image watermarking such as Least Significant Bit (LSB) methods which is more noise-tolerant. Popular transformation method used are Two Dimensional Discrete Cosine Transform (2D DCT), Two Dimensional Discrete Fourier Transforms (2D DFT), and Two Dimensional Discrete Wavelet Transform (2D DWT). This paper will show the comparison result of those three transformation method. The experiments are comparison analysis of image watermark quality using Peak Signal to Noise Ratio (PSNR), color converting, image resizing, image optical scanning and the noise-tolerant of the image watermarked by giving Gaussian noise.
  • 关键词:thesai; IJACSA Volume 8 Issue 2; Digital Image Watermarking; 2D Discrete Cosine Transform (2D DCT); 2D Discrete Fourier Transform (2D DFT); 2D Discrete Wavelet Transform (2D DWT); Least Significant Bit method (LSB); Digital Signal Processing
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