On basis images for the digital image representation
This work addresses image coding and watermarking applications, but it appears incremental as it builds on existing orthogonal transform concepts with specific extensions.
The paper tackled the problem of digital image representation using orthogonal transformations and basis images, establishing quantum analogues of basis images and introducing a block matrix for multi-dimensional arrays, which led to a new feature of data scattering and a detection algorithm for frequency domain watermarking.
Digital array orthogonal transformations that can be presented as a decomposition over basis items or basis images are considered. The orthogonal transform provides digital data scattering, a process of pixel energy redistributing, that is illustrated with the help of basis images. Data scattering plays important role for applications as image coding and watermarking. We established a simple quantum analogues of basis images. They are representations of quantum operators that describe transition of single particle between its states. Considering basis images as items of a matrix, we introduced a block matrix that is suitable for orthogonal transforms of multi-dimensional arrays such as block vector, components of which are matrices. We present an orthogonal transform that produces correlation between arrays. Due to correlation new feature of data scattering was found. A presented detection algorithm is an example of how it can be used in frequency domain watermarking.