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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1140
Title: Stereo domain translation for denoising and super-resolution using correlation loss
Authors: Dinh Quang Vinh 
Nguyen Tuan Duc 
Phuc Hong Nguyen 
Keywords: Image translation;Correlation loss;Stereo images
Issue Date: 2020
Source: https://ieeexplore.ieee.org/document/9335830
Conference name: 7th NAFOSTED Conference on Information and Computer Science 
Abstract: 
This paper proposes a GAN-based denoising and super-resolution network for stereo images. The proposed network solves the two problems separately in an end-to-end training fashion. A matchability attention module are introduced to compute matching cost spaces and provide the stereo information between generated stereo images. In addition, the correlation loss is proposed to preserve the correspondence between a stereo pair. We evaluate the proposed network using the KITTI 2012 and KITTI 2015 datasets. In addition, we compare with state-of-the-art denoising and super-resolution methods. Experimental results show that the proposed method significantly outperforms the existing method both in terms of qualitative and quantitative analysis.
Duration: 26-27/11/2020
Conference venue: Ho Chi Minh city, Vietnam
URI(1): http://epub.vgu.edu.vn/handle/dlibvgu/1140
Appears in Collections:Conference papers

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