13 datasets found

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

An enhanced super-resolution generative adversarial network.

Real-world image restoration and enhancement

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.

The dataset is used to reconstruct sparse scenes from the temporal profile of the wave-front using only one spatial pixel or a spatial average.

Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views.

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

The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

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....