The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Image data compression: A review
Abstract
With the continuing growth of modern communications technology, demand for image transmission and storage is increasing rapidly. Advances in computer technology for mass storage and digital processing have paved the way for implementing advanced data compression techniques to improve the efficiency of transmission and storage of images. In this paper a large variety of algorithms for image data compression are considered. Starting with simple techniques of sampling and pulse code modulation (PCM), state of the art algorithms for two-dimensional data transmission are reviewed. Topics covered include differential PCM (DPCM) and predictive coding, transform coding, hybrid coding, interframe coding, adaptive techniques, and applications. Effects of channel errors and other miscellaneous related topics are also considered. While most of the examples and image models have been specialized for visual images, the techniques discussed here could be easily adapted more generally for multidimensional data compression. Our emphasis here is on fundamentals of the various techniques. A comprehensive bibliography with comments is included for a reader interested in further details of the theoretical and experimental results discussed here.
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
Analysis of a complex of statistical variables into principal components.
Hotelling, H. (1933) · Journal of Educational Psychology · doi:10.1037/h0071325 · Cited by 9,633
A Method for the Construction of Minimum-Redundancy Codes
Huffman, D. (1952) · Proceedings of the IRE · doi:10.1109/jrproc.1952.273898 · Cited by 6,334
Ahmed, N., Natarajan, T., & Rao, K. R. (1974) · IEEE Transactions on Computers · doi:10.1109/t-c.1974.223784 · Cited by 5,156
Linear prediction: A tutorial review
Makhoul, J. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.9792 · Cited by 4,023
Information Theory and Reliable Communication
Bell, D. A. (1969) · Electronics and Power · doi:10.1049/ep.1969.0319 · Cited by 4,012
Quantizing for minimum distortion
Max, J. (1960) · IEEE Transactions on Information Theory · doi:10.1109/tit.1960.1057548 · Cited by 2,038
An introduction to matched filters
Turin, G. (1960) · IEEE Transactions on Information Theory · doi:10.1109/tit.1960.1057571 · Cited by 1,254
Metadata
- Authors
- Jain, A. K.
- Venue
- Proceedings of the IEEE
- Published
- 1981-03
- Volume
- 69
- Issue
- 3
- Pages
- 349-389
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2154410785
- Cited by
- 709
- References
- 68
- FWCI
- 24.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jain, A. K. (1981). Image data compression: A review. Proceedings of the IEEE. https://doi.org/10.1109/proc.1981.11971
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
