TY - GEN
T1 - Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms
AU - Suzuki, Taizo
AU - Ikehara, Masaaki
PY - 2014/1/28
Y1 - 2014/1/28
N2 - We present a realization of reversible lapped transforms (RevLTs) with simplified implementations, which are constructed by DCT and DST matrices, adders, and bit-shifters, for lossy-to-lossless image coding in this paper. Each DCT or DST matrix is directly used to each lifting coefficient block and it is called DCT-lifting structure. The structure is obtained by considering parallel processing of two 'same' type LTs and using DCT-lifting factorizations as our previous work. Furthermore, the Hadamard transform and scaling parts in the RevLTs are effectively implemented by extending 2D non-separable lifting structures derived from lifting-based lapped transform (L-LT) used for JPEG XR, the newest image coding standard. As a result, the proposed RevLTs achieve not only simplified implementations with any block size, but also comparable lossy-to-lossless image coding performance to the conventional RevLTs.
AB - We present a realization of reversible lapped transforms (RevLTs) with simplified implementations, which are constructed by DCT and DST matrices, adders, and bit-shifters, for lossy-to-lossless image coding in this paper. Each DCT or DST matrix is directly used to each lifting coefficient block and it is called DCT-lifting structure. The structure is obtained by considering parallel processing of two 'same' type LTs and using DCT-lifting factorizations as our previous work. Furthermore, the Hadamard transform and scaling parts in the RevLTs are effectively implemented by extending 2D non-separable lifting structures derived from lifting-based lapped transform (L-LT) used for JPEG XR, the newest image coding standard. As a result, the proposed RevLTs achieve not only simplified implementations with any block size, but also comparable lossy-to-lossless image coding performance to the conventional RevLTs.
KW - DCT
KW - DST
KW - lapped transform (LT)
KW - lifting structure
KW - lossy-to-lossless image coding
UR - http://www.scopus.com/inward/record.url?scp=84949928426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949928426&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2014.7026130
DO - 10.1109/ICIP.2014.7026130
M3 - Conference contribution
AN - SCOPUS:84949928426
SN - 9781479957514
SP - 5586
EP - 5590
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -