Universitas Yudharta Pasuruan, Lukman Hakim (2021) Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. In: International Conference on Neural Information Processing, Japan.
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Cek Plagiasi-Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels.pdf Download (1MB) |
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Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels.pdf Download (340kB) |
Abstract
The deep learning technique was used to increase the performance of single image super-resolution (SISR). However, most existing CNN-based SISR approaches primarily focus on establishing deeper or larger networks to extract more significant high-level features. Usually, the pixel-level loss between the target high-resolution image and the estimated image is used, but the neighbor relations between pixels in the image are seldom used. On the other hand, according to observations, a pixel’s neighbor relationship contains rich information about the spatial structure, local context, and structural knowledge. Based on this fact, in this paper, we utilize pixel’s neighbor relationships in a different perspective, and we propose the differences of neighboring pixels to regularize the CNN by constructing a graph from the estimated image and the ground-truth image. The proposed method outperforms the state-of-the-art methods in terms of quantitative and qualitative evaluation of the benchmark datasets.
| Item Type: | Conference or Workshop Item (Paper) | ||||||
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| Subjects: | Teknologi & Ilmu Terapan > Ilmu Teknik dan Ilmu yang Berkaitan | ||||||
| Divisions: | Fakultas Teknik > Teknik Informatika | ||||||
| Date Deposited: | 25 Oct 2023 05:09 | ||||||
| Last Modified: | 25 Oct 2023 05:09 | ||||||
| URI: | https://repository.yudharta.ac.id/id/eprint/3205 |
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