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1 June 2020 Multi-frame interpolation of Bayer images using optical flow
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Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 1151531 (2020) https://doi.org/10.1117/12.2566912
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia
Abstract
A recent image sensor in a camera contains millions of pixels. The pixel itself records only the intensity of a single light signal of red, green, or blue in the Bayer patterned sensor. When the camera moves position slightly, however, the different kinds of wavelength light signals can be recorded in a different pixel. In other words, we can complement the missing color signals in the Bayer pattern by the captured ray from the moved camera. Consequently, a full-color image can be generated without demosaicing, but the capturing method may cause a false-color. In our proposed method, we take more than 50 images to complement the pixels because the camera position is moved artificially rather than mechanically. Besides, we use the dense optical flow to track the movement of all pixels between the reference image and the other images. All images are converted from Bayer images to grayscale images to calculate the optical flow. Then, the pixels are linked according to the optical flow, the missing color pixel values in reference Bayer image are complemented from the other corresponding Bayer images. In our experiments, we generated sharper images than the demosaiced method.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Toshiki Sato and Norishige Fukushima "Multi-frame interpolation of Bayer images using optical flow", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 1151531 (1 June 2020); https://doi.org/10.1117/12.2566912
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