eDL-cSIM: An AI-driven super-resolution imaging method that captures high-quality live-cell dynamics in a single exposure ... capturing multiple sequential images or rely on scanning methods ...

Then, we use the designed Residual Attention-Dense Block (See 2.3 for details) on each branch to further learn image features and gradually ... algorithm outperforms other super-resolution algorithms ...

SRCNN is a Implementation of Image Super-Resolution ... to 170 block size + 5 size of the original image. That allows you to process even large images. At the same time, block processing gives minor ...

One of the image enlargement approaches is by using convolutional neural network (CNN)-based super-resolution construction from a single image. The first CNN-based image super-resolution algorithm is ...

Block) module; secondly ... show that the proposed algorithm is better than SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network), SRCNN (Super-Resolution ...

However, the linear interpolation methods tend to generate over-smoothed images with aliasing, blur, and halo around the edges [1] . The single ... super-resolution method, has been proposed in ...