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Gamito, M. N. & Dias, J. (2004). Lossless coding of floating point data with JPEG 2000 part 10. In Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004). (pp. 276-287). Denver: SPIE Digital LIbrary.

M. N. Gamito and J. M. Dias,  "Lossless coding of floating point data with JPEG 2000 part 10", in Proc. Volume 5558, Applications of Digital Image Processing XXVII; (2004), Denver, SPIE Digital LIbrary, 2004, vol. 5558, pp. 276-287

@inproceedings{gamito2004_1716163022465,
	author = "Gamito, M. N. and Dias, J.",
	title = "Lossless coding of floating point data with JPEG 2000 part 10",
	booktitle = "Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004)",
	year = "2004",
	editor = "",
	volume = "5558",
	number = "",
	series = "",
	doi = "10.1117/12.564830",
	pages = "276-287",
	publisher = "SPIE Digital LIbrary",
	address = "Denver",
	organization = "SPIE",
	url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/5558/1/Lossless-coding-of-floating-point-data-with-JPEG-2000-Part/10.1117/12.564830.short"
}

TY  - CPAPER
TI  - Lossless coding of floating point data with JPEG 2000 part 10
T2  - Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004)
VL  - 5558
AU  - Gamito, M. N.
AU  - Dias, J.
PY  - 2004
SP  - 276-287
DO  - 10.1117/12.564830
CY  - Denver
UR  - https://www.spiedigitallibrary.org/conference-proceedings-of-spie/5558/1/Lossless-coding-of-floating-point-data-with-JPEG-2000-Part/10.1117/12.564830.short
AB  - JPEG 2000 Part 10 is a new work part of the ISO/IEC JPEG Committee dealing with the extension of JPEG 2000 technologies to three-dimensional data. One of the issues in Part 10 is the ability to encode floating point datasets. Many Part 10 use cases come from the scientific and engineering communities, where floating point data is often produced either from numerical simulations or from remote sensing instruments. This paper presents the technologies that are currently being developed to accommodate this Part 10 requirement. The coding of floating point datasets with JPEG 2000 requires two changes to the coding pipeline. Firstly, the wavelet transformation stage is optimized to correctly decorrelate data represented with the IEEE 754 floating point standard. Special IEEE 754 floating point values like Infinities and NaN's are signaled beforehand as they do not correlate well with other floating point values. Secondly, computation of distortion measures on the encoder side is performed in floating point space, rather than in integer space, in order to correctly perform rate allocation. Results will show that these enhancements to the JPEG 2000 coding pipeline lead to better compression results than Part 1 encoding where the floating point data had been retyped as integers.
ER  -