@inproceedings{2e0528af19e74de78b3bc09652b19730,
title = "Nonuniform lattice regression for modeling the camera imaging pipeline",
abstract = "We describe a method to construct a sparse lookup table (LUT) that is effective in modeling the camera imaging pipeline that maps a RAW camera values to their sRGB output. This work builds on the recent in-camera color processing model proposed by Kim et al. [1] that included a 3D gamut-mapping function. The major drawback in [1] is the high computational cost of the 3D mapping function that uses radial basis functions (RBF) involving several thousand control points. We show how to construct a LUT using a novel nonuniform lattice regression method that adapts the LUT lattice to better fit the 3D gamut-mapping function. Our method offers not only a performance speedup of an order of magnitude faster than RBF, but also a compact mechanism to describe the imaging pipeline. {\textcopyright} 2012 Springer-Verlag.",
author = "Lin, \{Hai Ting\} and Zheng Lu and Kim, \{Seon Joo\} and Brown, \{Michael S.\}",
year = "2012",
doi = "10.1007/978-3-642-33718-5\_40",
language = "English",
isbn = "9783642337178",
volume = "7572 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "556--568",
booktitle = "Computer Vision, ECCV 2012",
address = "Germany",
note = "12th European Conference on Computer Vision, ECCV 2012 ; Conference date: 07-10-2012 Through 13-10-2012",
}