TY - JOUR
T1 - Generalized block-lifting factorization of M-channel biorthogonal filter banks for lossy-to-lossless image coding
AU - Suzuki, Taizo
AU - Ikehara, Masaaki
AU - Nguyen, Truong Q.
N1 - Funding Information:
Manuscript received August 18, 2011; revised December 28, 2011 and March 02, 2012; accepted March 02, 2012. Date of publication March 12, 2012; date of current version June 13, 2012. This work was supported in part by a Grant-in-Aid for the Japan Society for the Promotion of Science Fellows and in part by a Grant-in-Aid for the Global Center of Excellence (G-COE) for High-Level Global Cooperation for Leading-Edge Platform on Access Spaces from the Ministry of Education, Culture, Sport, Science, and Technology in Japan. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Joan Serra-Sagrista.
PY - 2012/7
Y1 - 2012/7
N2 - Generalized block-lifting factorization of M-channel (M > 2) biorthogonal filter banks (BOFBs) for lossy-to-lossless image coding is presented in this paper. Since the proposed block-lifting structure is more general than the conventional lifting factorizations and does NOT require many restrictions such as paraunitary, number of channels, and McMillan degree in each building block unlike the conventional lifting factorizations, its coding gain is higher than that of the previous methods. Several proposed BOFBs are designed and applied to image coding. Comparing the results with conventional lossy-to-lossless image coding structures, including the 5/3- and 9/7-tap discrete wavelet transforms in JPEG 2000 and a 4 × 8 hierarchical lapped biorthogonal transform in JPEG XR, the proposed BOFBs achieve better result in both objective measure and perceptual visual quality for the images with a lot of high-frequency components.
AB - Generalized block-lifting factorization of M-channel (M > 2) biorthogonal filter banks (BOFBs) for lossy-to-lossless image coding is presented in this paper. Since the proposed block-lifting structure is more general than the conventional lifting factorizations and does NOT require many restrictions such as paraunitary, number of channels, and McMillan degree in each building block unlike the conventional lifting factorizations, its coding gain is higher than that of the previous methods. Several proposed BOFBs are designed and applied to image coding. Comparing the results with conventional lossy-to-lossless image coding structures, including the 5/3- and 9/7-tap discrete wavelet transforms in JPEG 2000 and a 4 × 8 hierarchical lapped biorthogonal transform in JPEG XR, the proposed BOFBs achieve better result in both objective measure and perceptual visual quality for the images with a lot of high-frequency components.
KW - Generalized block-lifting
KW - M-channel biorthogonal filter banks (BOFBs)
KW - lossy-to-lossless image coding
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U2 - 10.1109/TIP.2012.2190611
DO - 10.1109/TIP.2012.2190611
M3 - Article
C2 - 22434801
AN - SCOPUS:84862585055
SN - 1057-7149
VL - 21
SP - 3220
EP - 3228
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 7
M1 - 6168264
ER -