学術雑誌論文 Dual-DCT-Lifting-Based Lapped Transform with Improved Reversible Symmetric Extension

SUZUKI, Taizo  ,  IKEHARA, Masaaki

E100.A ( 5 )  , pp.1109 - 1118 , 2017-05 , 電子情報通信学会
ISSN:0916-8508
NII書誌ID(NCID):AA10826239
内容記述
We present a lifting-based lapped transform (L-LT) and a reversible symmetric extension (RSE) in the boundary processing for more effective lossy-to-lossless image coding of data with various qualities from only one piece of lossless compressed data. The proposed dual-DCT-lifting-based LT (D2L-LT) parallel processes two identical LTs and consists of 1-D and 2-D DCT-liftings which allow the direct use of a DCT matrix in each lifting coefficient. Since the DCT-lifting can utilize any existing DCT software or hardware, it has great potential for elegant implementations that are dependent on the architecture and DCT algorithm used. In addition, we present an improved RSE (IRSE) that works by recalculating the boundary processing and solves the boundary problem that the DCT-lifting-based L-LT (DL-LT) has. We show that D2L-LT with IRSE mostly outperforms conventional L-LTs in lossy-to-lossless image coding.
本文を読む

https://tsukuba.repo.nii.ac.jp/?action=repository_action_common_download&item_id=41436&item_no=1&attribute_id=17&file_no=1

このアイテムのアクセス数:  回

その他の情報