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The JPEG2000 still image coding system: an overview
Open accessAbstract
With the increasing use of multimedia technologies, image compression requires higher performance as well as new features. To address this need in the specific area of still image encoding, a new standard is currently being developed, the JPEG2000. It is not only intended to provide rate-distortion and subjective image quality performance superior to existing standards, but also to provide features and functionalities that current standards can either not address efficiently or in many cases cannot address at all. Lossless and lossy compression, embedded lossy to lossless coding, progressive transmission by pixel accuracy and by resolution, robustness to the presence of bit-errors and region-of-interest coding, are some representative features. It is interesting to note that JPEG2000 is being designed to address the requirements of a diversity of applications, e.g. Internet, color facsimile, printing, scanning, digital photography, remote sensing, mobile applications, medical imagery, digital library and E-commerce.
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Cited by
A New Measurement Method of Iimage Encryption
Yu, X. Y., Zhang, J., Ren, H. E., Li, S., & Zhang, X. D. (2006) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/48/1/077 · Cited by 10
Image Encryption and Chaotic Cellular Neural Network
Peng, J., & Zhang, D. (2009) · Machine Learning in Cyber Trust · doi:10.1007/978-0-387-88735-7_8 · Cited by 9
Metadata
- Authors
- Christopoulos, C., Skodras, A., & Ebrahimi, T.
- Venue
- IEEE Transactions on Consumer Electronics
- Published
- 2000
- Volume
- 46
- Issue
- 4
- Pages
- 1103-1127
- ISSN
- 0098-3063 (ISSN-L)
- OpenAlex
- W2170023599
- Cited by
- 1,395
- References
- 0
- FWCI
- 47.34
- Type
- journal article
- Language
- en
- Open access
- green
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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.