TY - GEN
T1 - Optimization-based data generation for photo enhancement
AU - Omiya, Mayu
AU - Horiuchi, Yusuke
AU - Simo-Serra, Edgar
AU - Iizuka, Satoshi
AU - Ishikawa, Hiroshi
PY - 2019/6
Y1 - 2019/6
N2 - The preparation of large amounts of high-quality training data has always been the bottleneck for the performance of supervised learning methods. It is especially time-consuming for complicated tasks such as photo enhancement. A recent approach to ease data annotation creates realistic training data automatically with optimization. In this paper, we improve upon this approach by learning image-similarity which, in combination with a Covariance Matrix Adaptation optimization method, allows us to create higher quality training data for enhancing photos. We evaluate our approach on challenging real world photo-enhancement images by conducting a perceptual user study, which shows that its performance compares favorably with existing approaches.
AB - The preparation of large amounts of high-quality training data has always been the bottleneck for the performance of supervised learning methods. It is especially time-consuming for complicated tasks such as photo enhancement. A recent approach to ease data annotation creates realistic training data automatically with optimization. In this paper, we improve upon this approach by learning image-similarity which, in combination with a Covariance Matrix Adaptation optimization method, allows us to create higher quality training data for enhancing photos. We evaluate our approach on challenging real world photo-enhancement images by conducting a perceptual user study, which shows that its performance compares favorably with existing approaches.
UR - http://www.scopus.com/inward/record.url?scp=85079999289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079999289&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2019.00240
DO - 10.1109/CVPRW.2019.00240
M3 - Conference contribution
AN - SCOPUS:85079999289
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 1890
EP - 1898
BT - Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
PB - IEEE Computer Society
T2 - 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
Y2 - 16 June 2019 through 20 June 2019
ER -