A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. Appl. Sci. 2017, 7, 1106
Source abstract
Abstract
We, the authors, wish to make the following corrections to our published paper [...]
Only a short abstract or summary was supplied by the source.
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Research context
OpenAlex topics: Advanced Data Compression Techniques · Neural Networks and Applications · Image Processing Techniques and Applications
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Affiliations
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
University of Chinese Academy of Sciences, Beijing 100049, China
HiSIM Research Center, Hiroshima University, Hiroshima 739-8530, Japan
Funding
National Key Research and Development Program of China · Shanghai Municipal Science and Technology Commission · Zhangjiang Administrative Committee
References (1)
Show source-provided references
1. Huang, Z., Zhang, X., Chen, L., Zhu, Y., An, F., Wang, H., and Feng, S. (2017). A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. Appl. Sci., 7.10.3390/app7111106 ↗