JOURNAL ARTICLE

LineDiff Entropy: Lossless Layout Data Compression Scheme for Maskless Lithography Systems

Chin-Khai TangMing-Shing SuYi-Chang Lu

Year: 2013 Journal:   IEEE Signal Processing Letters Vol: 20 (7)Pages: 645-648   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This letter presents a new lossless electron-beam layout data compression and decompression algorithm named LineDiff Entropy. The algorithm is designed to facilitate high volume data transfer and massively-parallel decompression in electron-beam direct-write lithography systems. LineDiff Entropy first compares consecutive electron-beam data scanlines and encodes the data based on change/no-change of pixel values and length of corresponding sequences. Then LineDiff Entropy utilizes the entropy encoding technique to assign unique short codes to data of frequent occurrence. Because the code format is simple and effective, LineDiff Entropy decompression can be achieved with limited computing resources. The benchmark results show that LineDiff Entropy is capable of achieving excellent compression factors and very fast decompression speed.

Keywords:
Lossless compression Entropy encoding Computer science Data compression Entropy (arrow of time) Algorithm Physics

Metrics

5
Cited By
1.89
FWCI (Field Weighted Citation Impact)
11
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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