2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDTEC-4.11
Paper Title ENHANCED BACK PROJECTION NETWORK BASED STEREO IMAGE SUPER-RESOLUTION CONSIDERING PARALLAX ATTENTION
Authors Li Ma, Sumei Li, Tianjin University, China
SessionTEC-4: Super-resolution
LocationArea G
Session Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Poster
Topic Image and Video Processing: Interpolation, super-resolution, and mosaicing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Recent years have witnessed great advances in stereo image super-resolution (SR). However, the existing methods only consider the horizontal parallax when capturing the stereo correspondence, which is insufficient because the vertical parallax is inevitably in stereo image pairs. To address this problem, we propose an enhanced back projection stereo SR network (EBPSSRnet) to make full use of the complementary information in stereo images for more accurate SR results. Specifically, we propose a relaxed parallax attention module (rePAM) to handle different stereo images with vertical and horizontal parallax. Then, an enhanced back projection block (EBPB) is developed to extract discriminative features for capturing the stereo correspondence and consolidate the best representation for reconstruction. Extensive experiments show that the proposed method achieves state-of-the-art performance on the Flickr1024, Middlebury, KITTI2012 and KITTI2015 datasets.