Motion Deblurring in Image Color Enhancement by WGAN
Joint Authors
Source
International Journal of Optics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Motion deblurring and image enhancement are active research areas over the years.
Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the images of challenging illumination conditions.
The key idea of this paper is to introduce a novel multitask learning algorithm for image motion deblurring and color enhancement, which enables us to enhance the color effect of an image while eliminating motion blur.
To achieve this, we explore the synchronization of processing two tasks for the first time by using the framework of generative adversarial networks (GANs).
We add L1 loss to the generator loss to simulate the model to match the target image at the pixel level.
To make the generated image closer to the target image at the visual level, we also integrate perceptual style loss into generator loss.
After a lot of experiments, we get an effective configuration scheme.
The best model trained for about one week has achieved state-of-the-art performance in both deblurring and enhancement.
Also, its image processing speed is approximately 1.75 times faster than the best competitor.
American Psychological Association (APA)
Feng, Jiangfan& Qi, Shuang. 2020. Motion Deblurring in Image Color Enhancement by WGAN. International Journal of Optics،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1172842
Modern Language Association (MLA)
Feng, Jiangfan& Qi, Shuang. Motion Deblurring in Image Color Enhancement by WGAN. International Journal of Optics No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1172842
American Medical Association (AMA)
Feng, Jiangfan& Qi, Shuang. Motion Deblurring in Image Color Enhancement by WGAN. International Journal of Optics. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1172842
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172842