Information Hiding In Digital Video Using DCT, DWT and CvT
| Autor: | Wisam Abed Shukur, Luheb Kareem Qurban, Wathiq Najah Abdullah |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Discrete wavelet transform
History Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition Speckle noise 02 engineering and technology Computer Science Applications Education Robustness (computer science) Information hiding 0202 electrical engineering electronic engineering information engineering Discrete cosine transform RGB color model 020201 artificial intelligence & image processing Artificial intelligence business MATLAB computer computer.programming_language |
| Zdroj: | Journal of Physics: Conference Series. 1003:012035 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1003/1/012035 |
| Popis: | The type of video that used in this proposed hiding a secret information technique is .AVI; the proposed technique of a data hiding to embed a secret information into video frames by using Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Curvelet Transform (CvT). An individual pixel consists of three color components (RGB), the secret information is embedded in Red (R) color channel. On the receiver side, the secret information is extracted from received video. After extracting secret information, robustness of proposed hiding a secret information technique is measured and obtained by computing the degradation of the extracted secret information by comparing it with the original secret information via calculating the Normalized cross Correlation (NC). The experiments shows the error ratio of the proposed technique is (8%) while accuracy ratio is (92%) when the Curvelet Transform (CvT) is used, but compared with Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT), the error rates are 11% and 14% respectively, while the accuracy ratios are (89%) and (86%) respectively. So, the experiments shows the Poisson noise gives better results than other types of noises, while the speckle noise gives worst results compared with other types of noises. The proposed technique has been established by using MATLAB R2016a programming language. |
| Databáze: | OpenAIRE |
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