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Optical Engineering

Simulation scheme of dusk scene using piece-wise multiple regression based on time-series color-block images
Author(s): Chen-Chung Liu; Chih-Chao Yang
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Paper Abstract

Dusk and dawn are usually the most beautiful moments of the day, and are almost always too short for busy people nowadays to witness their coming. In this work, an efficient strategy for simulating a dusk scene of an outdoor scene image taken at other times before the sunset is presented. The strategy is a hybrid approach combining the piece-wise multiple regression (PMR) of data, discrete cosine transformation (DCT), and a look-up table algorithm. The process begins using a series of color-block images taken in the afternoon of a day. The best fitting functions of PMR for these color block images exist on separate planes (red, green, and blue) in the DCT domain individually. The reference databases of the DCT coefficients varying with respect to time are then established according to the best fitting functions of PMR. Finally, the dusk scene of an outdoor scene taken in the afternoon is synthesized by querying the reference database. The experiment results show that the presented algorithm can precisely simulate the desired dusk scene from a scene image taken in the afternoon.

Paper Details

Date Published: 1 September 2010
PDF: 14 pages
Opt. Eng. 49(9) 097007 doi: 10.1117/1.3487744
Published in: Optical Engineering Volume 49, Issue 9
Show Author Affiliations
Chen-Chung Liu, National Chin-Yi Univ. of Technology (Taiwan)
Chih-Chao Yang, National Chin-Yi Univ. of Technology (Taiwan)


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