Acta Optica Sinica, Volume. 38, Issue 2, 0233001(2018)
Illumination Estimation Based on Exemplar Learning in Logarithm Domain
Fig. 2. Images and log-chrominance histograms of two scenes with three different illuminations. Scene 1 images and log-chrominance histograms under (a) white light, (b) blue light, (c) green light; scene 2 images and log-chrominance histograms under (d) white light, (e) blue light, (f) green light
Fig. 4. Illumination estimation of multi-illuminant images. (a) Original images; (b) ground-truth values; (c) single illuminant estimation results; (d) double illuminant estimation results; (e) multi-illuminant estimation results
Fig. 5. Color correction results using different illumination estimation algorithms on SFU Grey-ball dataset. (a) Original images (b) Grey-World; (c) White-Patch; (d) Shades-of-Grey; (e) Grey-Edge; (f) Gamut Mapping; (g) Exemplar-Based; (h) proposed method
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Shuai Cui, Jun Zhang, Jun Gao. Illumination Estimation Based on Exemplar Learning in Logarithm Domain[J]. Acta Optica Sinica, 2018, 38(2): 0233001
Category: Vision, Color, and Visual Optics
Received: Jun. 21, 2017
Accepted: --
Published Online: Aug. 30, 2018
The Author Email: Zhang Jun (zhangjun@hfut.edu.cn)