Publications
Talk · Mediterranean Conference on Embedded Computing · June 7, 2021
Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination
Pavel Alekseyevich Lyakhov, Georgii Valuev, Maria Vasilyevna Valueva, Dmitrii Kaplun, Aleksandr Sinitca
Abstract
The single image super-resolution issue is studied in this paper. We propose a new method based on a combination of bilinear interpolation and the U-Net neural network to solve this problem. The image is enlarged by bilinear interpolation, then its quality is improved by the neural network. This approach allows improving reconstruction quality by 1.00-6.56% compared with known methods.
Advanced Image Processing TechniquesImage Enhancement TechniquesImage and Signal Denoising Methodssingle image super-resolutionbilinear interpolationU-Net
More by Dmitry Kaplun
- Codewithsayanjib/slm-systematic-review: v1.1Zenodo · 2026
- Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosisScientific Data · 2026
- Microscopy Image Dataset of pulmonary vessels for Deep Learning-Based Quantitative assessment of fibrosisFigshare · 2026
- MA2MU-Net++: A Mahalanobis distance and Ackley function based multi-modal U-Net++ model for breast nuclei segmentation in histopathology imagesBiomedical Signal Processing and Control · 2026