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High Dynamic Range (HDR) images use a wider range of intensity values than the common Limited Dynamic Range (LDR) images. Because of this, handling HDR images requires a great deal of information to be stored and transferred. To represent and display HDR images efficiently, a trade-off needs to be balanced between size and accuracy. We present a new wavelet-based algorithm for encoding HDR images, so that their data are feasible in the internet-based society for image communication. Experiments are conducted using the library provided by the Munsell Color Science Laboratory of Rochester Institute of Technology and HDR Images provided by Industrial Light and Magic (ILM, a motion picture visual effects company). Experimental results show that the encoded format is able to achieve a good balance between visual quality and image size for internet users.
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Shih et al. (2010) studied this question.
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