GHOST AND NOISE REMOVAL IN EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING
Dong-Kyu Lee1
, Rae-Hong Park1
and Soonkeun Chang2
1Department of Electronic Engineering, School of Engineering, Sogang University,
35 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul 121-742, Korea
2
Samsung Electronics Co., Ltd., Suwon, Gyeonggi-do 443-742, Korea
ABSTRACT
For producing a single high dynamic range image (HDRI), multiple low dynamic range images (LDRIs)
are captured with different exposures and combined. In high dynamic range (HDR) imaging, local motion
of objects and noise in a set of LDRIs can influence a final HDRI: local motion of objects causes the ghost
artifact and LDRIs, especially captured with under-exposure, make the final HDRI noisy. In this paper, we
propose a ghost and noise removal method for HDRI using exposure fusion with subband architecture, in
which Haar wavelet filter is used. The proposed method blends weight map of exposure fusion in the
subband pyramid, where the weight map is produced for ghost artifact removal as well as exposure fusion.
Then, the noise is removed using multi-resolution bilateral filtering. After removing the ghost artifact and
noise in subband images, details of the images are enhanced using a gain control map. Experimental
results with various sets of LDRIs show that the proposed method effectively removes the ghost artifact and
noise, enhancing the contrast in a final HDRI.
KEYWORDS
High Dynamic Range Imaging, Exposure Fusion, Ghost Removal, Noise Removal
More Details : http://airccse.org/journal/ijcga/papers/4414ijcga01.pdf
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