8 datasets found

A dataset for wireless mobile channel modeling, including ray tracing and deep learning fusion super-resolution modeling method for cluster characteristics prediction.

A real microscope image was used to test the method. The image was deconvolved using the proposed method, and the results were compared with the original image.

A synthetic image was synthesized to test the method. The image was convolved with the IRF, added noise and background, and then deconvolved using the proposed method.

RT-urban dataset, a high-precision channel feature dataset for training a deep learning model for super-resolution of channel characteristics.

The dataset used for testing the self-similarity-based super-resolution model for photoacoustic angiography.

The dataset used for training the self-similarity-based super-resolution model for photoacoustic angiography.

The dataset used for training the self-similarity-based super-resolution model for photoacoustic angiography.

Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....