Textual image compression at low bit rates based on region-of-interest coding
Author:
Funder
University of Shahrood
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s10032-015-0258-7.pdf
Reference28 articles.
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2. Said, A., Pearlman, W.: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. Video Technol. 6(3), 243–250 (1996)
3. Pearlman, W.A., Said, A.: Digital Signal Compression: Principles and Practice. Cambridge University Press, New York (2011)
4. Simard, P.Y., Malvar, H.S.: A wavelet coder for masked images. In: Data Compression Conference (DCC), pp. 93–102 (2001)
5. Ghanbari, M.: Standard Codecs: Image Compression to Advanced Video Coding, 3rd edn. The Institution of Engineering and Technology, London (2011)
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1. Sparse Decomposition Technique for Segmentation and Compression of Compound Images;Journal of Intelligent Systems;2018-04-25
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