Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms

Taizo Suzuki; Masaaki Ikehara

doi:10.1109/ICIP.2014.7026130

Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms

Taizo Suzuki, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5586-5590
Number of pages	5
ISBN (Print)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7026130
Publication status	Published - 2014 Jan 28

Keywords

DCT
DST
lapped transform (LT)
lifting structure
lossy-to-lossless image coding

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICIP.2014.7026130

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Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms. / Suzuki, Taizo; Ikehara, Masaaki.

2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 5586-5590 7026130.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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