Proposal Paper for improving SVD and Quantization Technique for Audio Watermarking

Authors

  • Harleen Kaur Department of Computer Science,Sri Guru Granth Sahib World University, Fatehgarh Sahib, India Author
  • Usvir Kaur Department of Computer Science,Sri Guru Granth Sahib World University, Fatehgarh Sahib, India Author

Keywords:

Audio Watermarking, blind, QIM, SVD, μ-law

Abstract

This paper discusses basics of audio watermarking and the concepts of Quantization Index Modulation (QIM), Singular Value Decomposition (SVD), μ-law and their benefits that are useful for watermarking of audio signals. Survey of some related papers discusses the usefulness of QIM technique when used with Discrete Wavelet Transform (DWT) or SVD technique and improvement in DWT based technique using Logarithmic Quantization Index Modulation (LQIM) using μ-law which provides motivation for a new methodology based on LQIM using μ-law to improve SVD technique.

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Published

2013-06-30

Issue

Section

Articles

How to Cite

Proposal Paper for improving SVD and Quantization Technique for Audio Watermarking. (2013). International Journal of Current Engineering and Technology, 3(2), 624-627. https://ijcet.evegenis.org/index.php/ijcet/article/view/305