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- W2072256386 abstract "Recently, compression of High Dynamic Range (HDR) photography gained attention in the standardization of the Microsoft HDPhoto compression scheme as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space can represent images up to a dynamic range of about 3.5 magnitudes in luminance, even higher ranges are more efficiently represented by floating-point number formats. In this work, the author presents the approach taken by JPEG-XR for compressing such data, and shows that this method when applied to JPEG 2000 generates equally good results. Furthermore, it is shown that the method performs nearly optimal under a mathematical quality index that is closely related to SSIM, and to the mean square error of the HDR images when rendered to the LDR regime." @default.
- W2072256386 created "2016-06-24" @default.
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- W2072256386 date "2009-11-01" @default.
- W2072256386 modified "2023-09-23" @default.
- W2072256386 title "Evaluation of floating point image compression" @default.
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- W2072256386 doi "https://doi.org/10.1109/icip.2009.5413692" @default.
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