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 | |
| 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