VLSI Architectures for multidimensional fourier transform processing
IEEE Transactions on Computers
Radon and projection transform-based computer vision: algorithms, a pipeline architecture, and industrial applications
Image Representation Via a Finite Radon Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orthogonal discrete periodic Radon transform: part II: applications
Signal Processing
New fast algorithms of multidimensional Fourier and Radon discrete transforms
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
IEEE Transactions on Signal Processing
Fast algorithms of multidimensional discrete nonseparable𝒦-wave transforms
IEEE Transactions on Signal Processing
The discrete periodic Radon transform
IEEE Transactions on Signal Processing
Orthogonal discrete periodic Radon transform: part II: applications
Signal Processing
Generalized Discrete Radon Transforms and Their Use in the Ridgelet Transform
Journal of Mathematical Imaging and Vision
Orthogonal discrete radon transform over pn × pnimages
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Generalised finite radon transform for N x N images
Image and Vision Computing
International Journal of Communication Networks and Distributed Systems
Reply to "Comments on 'The discrete periodic radon transform'"
IEEE Transactions on Signal Processing
Comments on “Generalised finite Radon transform for N × N images”
Image and Vision Computing
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
A discrete modulo N projective radon transform for N × N images
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
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The discrete periodic Radon transform (DPRT) was proposed recently. It was shown that DPRT possesses many useful properties that are similar to the conventional continuous Radon transform. Using these properties, a 2-D signal can be processed by some 1-D approaches to reduce the computational complexity. However, the non-orthogonal structure of DPRT projections introduces redundant operations that often lower the efficiency of the technique in applications. In this paper, we propose the orthogonal discrete periodic Radon transform (ODPRT) in which a new decomposition approach is introduced. All ODPRT projections are modified to be orthogonal such that redundancy is eliminated. Furthermore, we consider the efficient realization for computing ODPRT and its inverse that make the proposed ODPRT more feasible in practical applications.