원문정보
초록
영어
Many effective watermarking algorithms have been proposed and implemented for multimedia. Human auditory system (HAS) is far more complex and sensitive than human visual system (HVS). For this reason, a few algorithms have been proposed for audio watermarking. In this paper, a new method of embedding gray image data into the audio signal and additive audio watermarking algorithm based on Fast Fourier Transformation (FFT) domain is proposed. First, the original audio is transformed into FFT domain. The FFT coefficients are divided into a fixed number of subsections and the energy of each subsection is calculated. Next, watermark is generated from gray image. Watermarks are then embedded into selected peaks of highest energy subsection. Experimental results demonstrate that the watermark is inaudible and this algorithm is robust to common operations of digital audio signal processing, such as noise addition, re-sampling, re-quantization and so on. To evaluate the performance of the proposed audio watermarking method, subjective and objective quality tests including Similarity (SIM) and Signal to Noise ratio (SNR) are conducted.
목차
1. Introduction
2. Related Research
3. Traditional Arnold Transform
4. Proposed Watermarking Method
4.1. Watermark Embedding Procedure
4.2. Watermark Extraction Procedure
5. Performance Evaluation Framework
5.1. Similarity (SIM)
5.2. Perceptual Quality
5. 3. Subjective Quality Evaluation
6. Experimental Results
6.1. Imperceptibility Test
6.2. Robustness Test
7. Conclusions
References