Mathematical Analysis of DCN-Based Super-Resolution

C. Lee; J. Park; S. Woo; J. Kim; J. Yoon

doi:10.1109/ACCESS.2020.2992483

Mathematical Analysis of DCN-Based Super-Resolution

C. Lee, J. Park, S. Woo, J. Kim, J. Yoon

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.1109/ACCESS.2020.2992483
Publication status	Published - 2020

Bibliographical note

Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2018R1D1A1B07050345.

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science(all)
Materials Science(all)
Engineering(all)

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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.",

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AU - Park, J.

AU - Woo, S.

AU - Kim, J.

AU - Yoon, J.

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Mathematical Analysis of DCN-Based Super-Resolution

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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