United coding method for compound image compression

This paper proposes a compound image coding method named united coding (UC). In UC, several lossless coding tools such as dictionary-entropy coders, run-length encoding (RLE), Hextile, and a few filters used in portable network graphics (PNG) format are united into H.264 like intraframe hybrid video...

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Veröffentlicht in:Multimedia tools and applications Jg. 71; H. 3; S. 1263 - 1282
Hauptverfasser: Wang, Shuhui, Lin, Tao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Boston Springer US 01.08.2014
Springer
Springer Nature B.V
Schlagworte:
Algorithms
Analysis
Applied sciences
Artificial intelligence
Cloud computing
Coders
Coding
Coding standards
Coding, codes
Computer Communication Networks
Computer graphics
Computer Science
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Data compression
Data Structures and Information Theory
Dictionaries
Encoding
Exact sciences and technology
Image coding
Image processing systems
Information, signal and communications theory
Lossless
Multimedia computer applications
Multimedia Information Systems
Optimization
Pattern recognition. Digital image processing. Computational geometry
Pictures
Pixels
Protocol
Rendering
Signal and communications theory
Software
Special Purpose and Application-Based Systems
Studies
Telecommunications and information theory
Video compression
Dictionary-entropy coding
Compound image and video
United coding
Hybrid coding
Lossless coding
Video coding
Cloud computing
Dictionaries
Image processing
Data compression
Video signal
Lossless compression
Distributed computing
Optimization
Image coding
Pervasive computing
Image compression
Text
PNG image
RLE encoding
Graphics
Experimental result
Compression ratio
Outsourcing
Signal to noise ratio
ISSN:1380-7501, 1573-7721
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper proposes a compound image coding method named united coding (UC). In UC, several lossless coding tools such as dictionary-entropy coders, run-length encoding (RLE), Hextile, and a few filters used in portable network graphics (PNG) format are united into H.264 like intraframe hybrid video coding. The basic coding unit (BCU) has a size typically between 16 × 16 pixels to 64 × 64 pixels. All coders in UC are used to code each BCU. Then, the lossless coder that generates minimum bit-rate (R) is chosen as the optimal lossless coder. Finally, the final optimal coder is chosen from the lossy intraframe hybrid coder and the optimal lossless coder using R-D cost based optimization criterion. Moreover, the data coded by one lossless coder can be used as the dictionary of other lossless coders. Experimental results demonstrate that compared with H.264, UC achieves up to 20 dB PSNR improvement and better visual picture quality for compound images with mixed text, graphics and natural picture. Compared with lossless coders such as gzip and PNG, UC can achieve 2–5 times higher compression ratio with just a minor loss and keep partial-lossless picture quality. The partial-lossless nature of UC is indispensable for some typical applications, such as cloud computing and rendering, cloudlet-screen computing and remote desktop, where lossless coding of partial image regions is demanded. On the other hand, the implementation complexity and cost increment of UC is moderate, typically less than 25 % of a traditional hybrid coder such as H.264.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-012-1274-y