Research in Signal and Image Processing, Theory and Methods:
Quantum Computing in Image Processing: Quantum signal/image representation and processing. Algorithms of the quantum Fourier transform, quantum image gradients.
Quantum Multi-Qubit Operations / Gates: New arithmetic on qubits – multiplication and division of qubits. The quantum circuits of any gate without permutations and CNOTs, effective QR-decompositions of unitary matrices.
Quaternion Imaging: Image enhancement, quaternion gradients, quaternion 2-D convolution. Quaternion optimal filters (quaternion Wiener filter).
Quaternion Commutative (2,2)-model: Quaternion algebra and DSP fundamental properties, commutative quaternions: Quaternion convolution, correlation, and Fourier transform .
Methods of Computed Tomography: Image reconstruction from parallel projections, Solution of the problem with a finite number of projections. Principle of superposition by direction images.
Fast algorithms: Quantum Fourier Transform, Quaternion 1-D and 2-D discrete Fourier transforms. Fast Fourier, Hartley, Hadamard, and cosine transforms.
Tensor and paired representations: New methods of image and signal representations and processing by splitting-signals. Fast 1-D paired transform. These transforms I developed and first published in 1984-1986s were used in many publications by different names, such as “discrete, finite, periodic, orthogonal, and generalized Radon, and mojette transforms.”
Fourier analysis and Multiresolution: Resolution map, image compression. Robust optimal filters. Optimal (Wiener) filtration. Image cryptography.
Image enhancement: Grayscale and color image enhancement in different color model, including in the quaternion space. Measures of image enhancement.
Elliptic discrete Fourier transforms: Two classes of transforms which generalize the known concept of the DFT and rotate data around the ellipses, not circles.
Signal-induced Heap transforms: Fast unitary transforms which are generated by given signals. Angular representation. Triangularization of square matrices. QR-decomposition of real and complex matrices.
Golden ratio function: Theory of the golden ratio, the golden equation, and similarity fields in the multi-dimension vector space.