TY - JOUR
T1 - Adaptive truncation algorithm for hadamard-transformed H.264/AVC lossless video coding
AU - Wei, Shih Tse
AU - Tien, Chia Wei
AU - Liu, Bin Da
AU - Yang, Jar Ferr
N1 - Funding Information:
Manuscript received April 8, 2010; revised June 28, 2010 and August 27, 2010; accepted October 8, 2010. Date of publication March 17, 2011; date of current version May 4, 2011. This work was supported in part by the National Science Council of Taiwan, under Grant NSC 97-2221-E-006-135-MY3. This paper was recommended by Associate Editor J. F. Arnold.
PY - 2011/5
Y1 - 2011/5
N2 - An efficient lossless video codec based on H.264/AVC that uses the Hadamard transform and adaptive truncation (HTAT) method is proposed. Most lossless video coding algorithms avoid transforms in their coding procedures. However, without this transformation, those lossless video coding algorithms cannot take advantage of data compaction. The HTAT method adopts the Hadamard transform to compact data, where the transformed coefficients are adaptively separated into the quotient parts and remainder parts. The quotient parts can be better encoded by entropy coders due to the energy compaction provided by the Hadamard transform. To ensure lossless coding, the remainders are encoded into compact form after exploring the redundancies caused by the Hadamard transform. Simulation results show that the proposed HTAT method has better coding performance than that of the original H.264/AVC lossless coding, with 6.2% and 3.7% reductions in bit rate for all I frame sequences and IPPP sequences, respectively.
AB - An efficient lossless video codec based on H.264/AVC that uses the Hadamard transform and adaptive truncation (HTAT) method is proposed. Most lossless video coding algorithms avoid transforms in their coding procedures. However, without this transformation, those lossless video coding algorithms cannot take advantage of data compaction. The HTAT method adopts the Hadamard transform to compact data, where the transformed coefficients are adaptively separated into the quotient parts and remainder parts. The quotient parts can be better encoded by entropy coders due to the energy compaction provided by the Hadamard transform. To ensure lossless coding, the remainders are encoded into compact form after exploring the redundancies caused by the Hadamard transform. Simulation results show that the proposed HTAT method has better coding performance than that of the original H.264/AVC lossless coding, with 6.2% and 3.7% reductions in bit rate for all I frame sequences and IPPP sequences, respectively.
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U2 - 10.1109/TCSVT.2011.2129030
DO - 10.1109/TCSVT.2011.2129030
M3 - Article
AN - SCOPUS:79955603849
VL - 21
SP - 538
EP - 549
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
IS - 5
M1 - 5733405
ER -