Simulation scheme of dusk scene using piece-wise multiple regression based on time-series color-block images

Chen-Chung Liu; Chih-Chao Yang

doi:10.1117/1.3487744

1 September 2010 Simulation scheme of dusk scene using piece-wise multiple regression based on time-series color-block images

Chen-Chung Liu, Chih-Chao Yang

Author Affiliations +

Optical Engineering, Vol. 49, Issue 9, 097007 (September 2010). https://doi.org/10.1117/1.3487744

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.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Chen-Chung Liu and Chih-Chao Yang "Simulation scheme of dusk scene using piece-wise multiple regression based on time-series color-block images," Optical Engineering 49(9), 097007 (1 September 2010). https://doi.org/10.1117/1.3487744

Published: 1 September 2010

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KEYWORDS

Computer simulations

Databases

Phase modulation

Scene simulation

Optical engineering

Light scattering

Magnetic resonance imaging

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