Abstract
Although DCN-based super-resolution (DCN-SR) techniques have shown impressive performance, the working mechanism has not been completely understood and DCN-SR methods still produce some artefacts. In this paper, we analyze the working mechanisms of DCN-SR methods. We derive mathematical formulations of the DCN-SR methods and provide some experimental analyses, which show that the effective receptive fields of the DCN-SR methods are considerably smaller than the theoretical receptive fields. Based on the mathematical formulations, experiments were performed. The results indicates that current DCN-SR methods may have some fundamental problems and new types of DCN structures are needed for reliable super-resolution performance.
| Original language | English |
|---|---|
| Article number | 9086595 |
| Pages (from-to) | 90420-90429 |
| Number of pages | 10 |
| Journal | IEEE Access |
| Volume | 8 |
| DOIs | |
| Publication status | Published - 2020 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Materials Science(all)
- Engineering(all)
Fingerprint Dive into the research topics of 'Mathematical Analysis of DCN-Based Super-Resolution'. Together they form a unique fingerprint.
Cite this
Lee, C., Park, J., Woo, S., Kim, J., & Yoon, J. (2020). Mathematical Analysis of DCN-Based Super-Resolution. IEEE Access, 8, 90420-90429. [9086595]. https://doi.org/10.1109/ACCESS.2020.2992483