Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding

Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding

We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of watermarks. Each row of the dictionary is a Hadamard sequence representing multiple bits of the watermark. Then, the singular values of the segment-based ho...

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Bibliographic Details
Main Authors: Gelar Budiman, Andriyan Bayu Suksmono, Donny Danudirdjo
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
compressive sampling
compressed sensing
watermark
data hiding
spread spectrum
singular value decomposition
Online Access:https://www.mdpi.com/2076-3417/10/12/4338

Internet

https://www.mdpi.com/2076-3417/10/12/4338

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