1999
DOI: 10.1016/s1076-5670(08)70216-7
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Number Theoretic Transforms and their Applications in Image Processing

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Cited by 16 publications
(10 citation statements)
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“…Consider the binary Hamming code H (7,4,3), with paritycheck matrix (reduced row echelon form) H = 1 1 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 0 0 1 .…”
Section: A the Standard Hamming Number-theoretic Transformmentioning
confidence: 99%
See 1 more Smart Citation
“…Consider the binary Hamming code H (7,4,3), with paritycheck matrix (reduced row echelon form) H = 1 1 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 0 0 1 .…”
Section: A the Standard Hamming Number-theoretic Transformmentioning
confidence: 99%
“…which is the generator matrix of the Hamming code H (7,4,3). Note that 7 − log 2 (1 + 7) = 4 = dim V. Figure 1 shows the implementation of the binary Hamming Transform 7 × 7.…”
Section: (λ)mentioning
confidence: 99%
“…NTTs use modular arithmetic operations on a field or ring of integers, without the errors inherent to normal floating-point operations, such as those found in the Discrete Fourier Transform (DFT) for example. NTTs have wide applications in different areas including; digital signal processing (Agarwal, 1980), digital filtering (Agarwal and Burrus, 1974;Boussakta and Holt, 1994), image processing (Boussakta and Holt, 1999), decoding (Reed et al, 1978) and cryptography (Yang et al, 2010;Yang and Boussakta, 2008).…”
Section: New Mersenne Number Transform (Nmnt)mentioning
confidence: 99%
“…Extensive experiment results suggest that the block cipher size has to be at least 128 bits or more in practical for security reason and it can be extended to a greater length with different requirements. Further to this, implementation of this transform can be computed through a radix-2 fast algorithm explained clearly in [3,4].…”
Section: New Algorithm Based On Nttsmentioning
confidence: 99%
“…The transform used in this proposed system is achieved through the derivation of a fast orthogonal transitional transform allowing the transition from one transform domain to another, called T transform [3,4]. The T transform is calculated by multiplying the WalshHadamard Transform (WHT) and the Fermat Number Transform (FNT) in a bit-row-reverse order:…”
Section: Introduction To T Transformmentioning
confidence: 99%