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Radiometric Calibration by Rank Minimization

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5 Author(s)
Joon-Young Lee ; Dept. of Electr. Eng., KAIST, Daejeon, South Korea ; Matsushita, Y. ; Boxin Shi ; In So Kweon
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We present a robust radiometric calibration framework that capitalizes on the transform invariant low-rank structure in the various types of observations, such as sensor irradiances recorded from a static scene with different exposure times, or linear structure of irradiance color mixtures around edges. We show that various radiometric calibration problems can be treated in a principled framework that uses a rank minimization approach. This framework provides a principled way of solving radiometric calibration problems in various settings. The proposed approach is evaluated using both simulation and real-world datasets and shows superior performance to previous approaches.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:35 ,  Issue: 1 )

Date of Publication:

Jan. 2013

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