1 September 2010 Simulation scheme of dusk scene using piece-wise multiple regression based on time-series color-block images
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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)
Chen-Chung Liu, Chen-Chung Liu, Chih-Chao Yang, 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 . Submission:
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