High Dynamic Range Image Acquisition from Multiple Low Dynamic Range Images Based on Estimation of Scene Dynamic Range
نویسندگان
چکیده
u t w c M a r m b s r s e v e m bstract. To acquire a high dynamic range (HDR) image of a cene, several low dynamic range (LDR) images acquired from a igital camera with different exposure times are generally fused into ne HDR image to cover the entire dynamic range of the scene. owever, when capturing a scene, the scene dynamic range (SDR) s unknown. Consequently, the exposure times for the LDR images eed to be as varied as possible to cover the unknown SDR. This aper proposes a method to estimate the SDR using two LDR imges. Using the SDR information, SDR-adaptive exposure times an then be selected to achieve the optimal HDR image. The SDR is efined as two exposure times when captured LDR images are marinally clipped to black and white, indicating the lower and upper imits of the SDR, respectively. To identify these times, two LDR mages, an overexposed and an underexposed image, are capured. Using the opto-electronic conversion function of the camera sed, the minimum gray level in the overexposed image is then sed to estimate the exposure time to make the minimum gray level f the image just black, while the maximum gray level in the underxposed image is used to estimate the exposure time to make the aximum gray level of the image just white. By evaluating the acuired HDR image error according to the exposure times of fused DR images for various scenes, SDR-adaptive exposure times to cquire an optimal HDR image with the minimal error are selected. xperiments confirm that the quality of an HDR image based on using LDR images with the proposed SDR-adaptive exposure times s similar to that of an HDR image based on fusing LDR images with onventionally chosen exposure times, even though the number of DR images used to acquire the HDR image with the proposed ethod is much smaller than that used by the conventional ethod. © 2009 Society for Imaging Science and Technology. DOI: 10.2352/J.ImagingSci.Technol.2009.53.2.020505
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