Color Accuracy and Noise Analysis in Multispectral HDR Imaging
نویسندگان
چکیده
Two promising technologies have been developed to improve image acquisition, namely high dynamic range (HDR) and multispectral imaging. In HDR imaging, several RGB images acquired with different exposures are combined into one image with greater dynamic range. This reduces saturated and underexposed image areas and improves the signal-to-noise ratio (SNR) of the image. On the other hand, multispectral imaging enhances the color accuracy of image acquisition compared to conventional RGB cameras by sampling the visible electromagnetic spectrum at several spectral passbands. In this paper, we take advantage of both technologies by combining them into “multispectral high dynamic range” (MHDR) imaging. We theoretically investigate the color accuracy of such a MHDR system. Based on a noise analysis, we show the simultaneous color accuracy and SNR improvements as well as the influence of the exposure set size.
منابع مشابه
Multispectral high dynamic range imaging
Capturing natural scenes with high dynamic range content using conventional RGB cameras generally results in saturated and underexposed and therefore compromising image areas. Furthermore the image lacks color accuracy due to a systematic color error of the RGB color filters. The problem of the limited dynamic range of the camera has been addressed by high dynamic range imaging (HDRI): Several ...
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