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- 저자 : Kazi Zakia Sultana (검색결과 2 건)
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DCT and DWT Based Robust Audio Watermarking Scheme for Copyright Protection
Deb, Kaushik,Rahman, Md. Ashikur,Sultana, Kazi Zakia,Sarker, Md. Iqbal Hasan,Chong, Ui-Pil The Korea Institute of Convergence Signal Processi 2014 융합신호처리학회 논문지 (JISPS) Vol.15 No.1
Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. This paper proposes a new audio watermarking method based on Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) for copyright protection. In our proposed watermarking method, the original audio is transformed into DCT domain and divided into two parts. Synchronization code is applied on the signal in first part and 2 levels DWT domain is applied on the signal in second part. The absolute value of DWT coefficient is divided into arbitrary number of segments and calculates the energy of each segment and middle peak. Watermarks are then embedded into each middle peak. Watermarks are extracted by performing the inverse operation of watermark embedding process. Experimental results show that the hidden watermark data is robust to re-sampling, low-pass filtering, re-quantization, MP3 compression, cropping, echo addition, delay, and pitch shifting, amplitude change. Performance analysis of the proposed scheme shows low error probability rates.
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DCT and DWT Based Robust Audio Watermarking Scheme for Copyright Protection
Kaushik Deb,Md. Ashikur Rahman,Kazi Zakia Sultana,Iqbal Hasan Sarker,정의필 한국융합신호처리학회 2014 융합신호처리학회 논문지 (JISPS) Vol.15 No.1
Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. This paper proposes a new audio watermarking method based on Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) for copyright protection. In our proposed watermarking method, the original audio is transformed into DCT domain and divided into two parts. Synchronization code is applied on the signal in first part and 2 levels DWT domain is applied on the signal in second part. The absolute value of DWT coefficient is divided into arbitrary number of segments and calculates the energy of each segment and middle peak. Watermarks are then embedded into each middle peak. Watermarks are extracted by performing the inverse operation of watermark embedding process. Experimental results show that the hidden watermark data is robust to re-sampling, low-pass filtering, re-quantization, MP3 compression, cropping, echo addition, delay, and pitch shifting, amplitude change. Performance analysis of the proposed scheme shows low error probability rates.
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