Video Smoke Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation
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- Yamaguchi S., Hirai K., Horiuchi T. (2017) Video Smoke Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation. In: Bianco S., Schettini R., Trémeau A., Tominaga S. (eds) Computational Color Imaging. CCIW 2017. Lecture Notes in Computer Science, vol 10213. Springer, Cham
This paper presents a novel video smoke removal method based on a smoke imaging model and space-time pixel compensation. First, we develop an optical imaging model for natural scenes that contain smoke. Then, we remove the smoke in a video, frame-by-frame, based on the smoke imaging model and conventional dehazing approaches. Next, we align the smoke-removed frames using corresponding pixels. To obtain the corresponding pixels, we use SIFT and color features with distance constraints. Finally, to reproduce clear video appearance, we compensate pixel values by utilizing the space-time weightings of the corresponding pixels between the smoke-removed frames. Validation experiments show our method can provide effective smoke removal resulting in dynamic scenes.