Abstract
This paper presents an integer discrete cosine transform (IntDCT) with only dyadic values such as k/2n (k, n ∈ ℕ). Although some conventional IntDCTs have been proposed, they are not suitable for lossless-to-lossy image coding in low-bit-word-length (coefficients) due to the degradation of the frequency decomposition performance in the system. First, the proposed M-channel lossless Walsh-Hadamard transform (LWHT) can be constructed by only (log2 M)-bit-word-length and has structural regularity. Then, our 8-channel IntDCT via LWHT keeps good coding performance even if low-bit-word-length is used because LWHT, which is main part of IntDCT, can be implemented by only 3-bit-wordlength. Finally, the validity of our method is proved by showing the results of lossless-to-lossy image coding in low-bit-word-length.
| Original language | English |
|---|---|
| Pages (from-to) | 734-741 |
| Number of pages | 8 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E93-A |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2010 Apr |
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Keywords
- Dyadic values
- Integer discrete cosine transform (IntDCT)
- Lossless Walsh-Hadamard transform (LWHT)
- Lossless-tolossy image coding
- Lowbit-word-length
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Applied Mathematics
- Signal Processing
Cite this
Integer discrete cosine transform via lossless Walsh-Hadamard transform with structural regularity for low-bit-word-length. / Suzuki, Taizo; Ikehara, Masaaki.
In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E93-A, No. 4, 04.2010, p. 734-741.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Integer discrete cosine transform via lossless Walsh-Hadamard transform with structural regularity for low-bit-word-length
AU - Suzuki, Taizo
AU - Ikehara, Masaaki
PY - 2010/4
Y1 - 2010/4
N2 - This paper presents an integer discrete cosine transform (IntDCT) with only dyadic values such as k/2n (k, n ∈ ℕ). Although some conventional IntDCTs have been proposed, they are not suitable for lossless-to-lossy image coding in low-bit-word-length (coefficients) due to the degradation of the frequency decomposition performance in the system. First, the proposed M-channel lossless Walsh-Hadamard transform (LWHT) can be constructed by only (log2 M)-bit-word-length and has structural regularity. Then, our 8-channel IntDCT via LWHT keeps good coding performance even if low-bit-word-length is used because LWHT, which is main part of IntDCT, can be implemented by only 3-bit-wordlength. Finally, the validity of our method is proved by showing the results of lossless-to-lossy image coding in low-bit-word-length.
AB - This paper presents an integer discrete cosine transform (IntDCT) with only dyadic values such as k/2n (k, n ∈ ℕ). Although some conventional IntDCTs have been proposed, they are not suitable for lossless-to-lossy image coding in low-bit-word-length (coefficients) due to the degradation of the frequency decomposition performance in the system. First, the proposed M-channel lossless Walsh-Hadamard transform (LWHT) can be constructed by only (log2 M)-bit-word-length and has structural regularity. Then, our 8-channel IntDCT via LWHT keeps good coding performance even if low-bit-word-length is used because LWHT, which is main part of IntDCT, can be implemented by only 3-bit-wordlength. Finally, the validity of our method is proved by showing the results of lossless-to-lossy image coding in low-bit-word-length.
KW - Dyadic values
KW - Integer discrete cosine transform (IntDCT)
KW - Lossless Walsh-Hadamard transform (LWHT)
KW - Lossless-tolossy image coding
KW - Lowbit-word-length
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U2 - 10.1587/transfun.E93.A.734
DO - 10.1587/transfun.E93.A.734
M3 - Article
AN - SCOPUS:77950854849
VL - E93-A
SP - 734
EP - 741
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 4
ER -