A Method for Improving TIE-Based VQ Encoding Introducing RI Rules
Author:
Affiliation:
1. Department of Electrical Engineering, National Taipei University of Technology
2. Department of Electrical Engineering, National Chin-Yi University of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E96.D/1/E96.D_151/_pdf
Reference3 articles.
1. [2] M. Kamel and L. Guan, “Fast nearest neighbor search for vector quantization of image data,” Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol.3, pp.623-626, Aug. 1992.
2. [3] W. Li and E.A. Salari, “Fast vector quantization encoding method for image compression,” IEEE Trans. Circuits Syst. Video Technol., vol.15, no.2, pp.119-123, 1995.
3. [5] C.H. Hsieh and Y.J. Liu, “Fast search algorithms for vector quantization of images using multiple triangle inequalities and wavelet transform,” IEEE Trans. Image Process., vol.19, no.30, pp.321-328, 2000.
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