Abstract
Among the variety of multimedia formats, color images play a prominent role. A technique for lossless compression of color images is introduced. The technique is composed of first transforming a red, green, and blue image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced earlier, Burrows-Wheeler inversion coder or JPEG 2000 is used in compression of those Cu and Cv channels. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other wellknown compression schemes, such as CALIC, M-CALIC, Better Portable Graphics, JPEG-LS, JPEG 2000, and the previously proposed hierarchical prediction and context-adaptive coding technique LCIC.
Original language | English (US) |
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Article number | 053007 |
Journal | Journal of Electronic Imaging |
Volume | 28 |
Issue number | 5 |
DOIs | |
State | Published - Sep 1 2019 |
Keywords
- Adaptive
- Burrows-Wheeler transformation
- Context-based
- Hierarchical decomposition and prediction
- Inversion coding
- JPEG 2000
- Lossless color image compression
- Lossless image coding
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Computer Science Applications
- Electrical and Electronic Engineering