Representative Image Outpainting and Image Super-Resolution Methods Based on Deep Learning

The image generation based on deep learning is a technology that can generate new images or outpaint old images or improve visual effect of old images through learning from input data, according to deep learning structure. The representative technologies of image generation are image outpainting and image super-resolution. Deep learning is widely utilized in the field of computer vision. Facing different needs, it is essential to choose proper ways. This essay reviews several representative and new methods of image outpainting and image super-resolution. Compared with the results generated by old methods, the results generated by new image outpainting methods introduced in this essay have greater precision and clarity, the methods of image super-resolution that are suitable for all fields and professional fields can learn from each others dataset manually to train and develop. There is still unimaginable prospect of deep learning in the field of image outpainting and image super-resolution. Therefore, it is worthy of attention.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-10-31
DOI
https://doi.org/10.54254/2755-2721/80/2024ch0055
Primary Topic
Advanced Image Processing Techniques
Type
article
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article

Representative Image Outpainting and Image Super-Resolution Methods Based on Deep Learning

Jianjia Li
Applied and Computational Engineering
Advanced Image Processing Techniques
article

Representative Image Outpainting and Image Super-Resolution Methods Based on Deep Learning

Jianjia Li
article en

Abstract

The image generation based on deep learning is a technology that can generate new images or outpaint old images or improve visual effect of old images through learning from input data, according to deep learning structure. The representative technologies of image generation are image outpainting and image super-resolution. Deep learning is widely utilized in the field of computer vision. Facing different needs, it is essential to choose proper ways. This essay reviews several representative and new methods of image outpainting and image super-resolution. Compared with the results generated by old methods, the results generated by new image outpainting methods introduced in this essay have greater precision and clarity, the methods of image super-resolution that are suitable for all fields and professional fields can learn from each others dataset manually to train and develop. There is still unimaginable prospect of deep learning in the field of image outpainting and image super-resolution. Therefore, it is worthy of attention.

Applied and Computational EngineeringVol. 80(1)
Hebei University of Technology (CN)
Openalex Percentile: Top 79%
Advanced Image Processing Techniques
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Representative Image Outpainting and Image Super-Resolution Methods Based on Deep Learning — Jianjia Li · Applied and Computational Engineering (2024) | TGRS Research Map | TGRS