We propose a novel method based on Convolutional Neural Networks for content-preserving tone adjustment. The method is at the same time fast and accurate since we decouple the inference of the parameters and the color transform: the parameters are inferred from a downsampled version of the input image and the transformation is applied to the full resolution input. The method includes two steps of image enhancement: the first one is a global color transformation, while the second one is a local transformation. Experiments conducted on the DPED - DSLR Photo Enhancement Dataset, that has been used for the NTIRE19 Image Enhancement Challenge, and on the MIT-Adobe FiveK dataset, that is widely used for image enhancement, demonstrate the effectiveness of the proposed method.

Bianco, S., Cusano, C., Piccoli, F., Schettini, R. (2019). Content-preserving tone adjustment for image enhancement. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1936-1943). IEEE Computer Society [10.1109/CVPRW.2019.00245].

Content-preserving tone adjustment for image enhancement

Bianco, S;Piccoli, F
;
Schettini, R
2019

Abstract

We propose a novel method based on Convolutional Neural Networks for content-preserving tone adjustment. The method is at the same time fast and accurate since we decouple the inference of the parameters and the color transform: the parameters are inferred from a downsampled version of the input image and the transformation is applied to the full resolution input. The method includes two steps of image enhancement: the first one is a global color transformation, while the second one is a local transformation. Experiments conducted on the DPED - DSLR Photo Enhancement Dataset, that has been used for the NTIRE19 Image Enhancement Challenge, and on the MIT-Adobe FiveK dataset, that is widely used for image enhancement, demonstrate the effectiveness of the proposed method.
poster + paper
conservative image enhancement, tone adjustment, convolutional neural networks
English
32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
2019
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
9781728125060
2019
2019
1936
1943
9025681
none
Bianco, S., Cusano, C., Piccoli, F., Schettini, R. (2019). Content-preserving tone adjustment for image enhancement. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1936-1943). IEEE Computer Society [10.1109/CVPRW.2019.00245].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/231635
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