Abstract: New super resolution approach that uses significant and general information. The training process is performed on the significant parts of the training data set, and the reconstruction process considers significant parts separately then, a super resolution image will be obtained according to each different demand. This concept is easy to understand, Experiments show that our new approach can reduce the testing time and obtain a high-quality reconstructed image.
Keyword: Super Resolution, Image Processing, Deep learning, Image resolution
| DOI: 10.17148/IJARCCE.2022.115206