Home › Entities › academia › Image super-resolution based on convolution neural networks using multi-channel input

Image super-resolution based on convolution neural networks using multi-channel input

Research article (2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016) · cited 16× · AI/ML
academia openalex:W2482139312
Press Enter · cited answer in seconds

Image super-resolution based on convolution neural networks using multi-channel input

Summary

Image super-resolution based on convolution neural networks using multi-channel input is a scholarly article[1].

Key Facts

  • Image super-resolution based on convolution neural networks using multi-channel input's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Image super-resolution based on convolution neural networks using multi-channel input. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input
MLA “Image super-resolution based on convolution neural networks using multi-channel input.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input.
BibTeX @misc{4ortxyz_image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image super-resolution based on convolution neural networks using multi-channel input}}, year = {2026}, url = {https://4ort.xyz/entity/image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image super-resolution based on convolution neural networks using multi-channel input — https://4ort.xyz/entity/image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/image-super-resolution-based-on-convolution-neural-networks-using-multi-channel-input · Last refreshed: