The majority of advanced remote sensing object detection technologies excel in accurately detecting objects from high-resolution images. However, in practical scenarios, it is often necessary to ...

Step 1: Again, select Image in the menu and choose Image Size. Step 2: In the pop-up window, uncheck the box for Resample. You’ll see that this locks the Width, Height, and Resolution settings ...

Image transformation Brain scan slices acquired with a portable, low-field Hyperfine MRI scanner (top row) and corresponding slices output by the LF-SynthSR algorithm (bottom row). The Hyperfine scan ...

However, this image compression is unlike other digital image compression methods because it is not decoded or decompressed in a computer. Instead, a transmissive material-based diffractive decoder ...

The image quality in the low-cost ultrasound imaging systems is degraded due to the presence of such noise and low resolution of such ultrasound systems. Herein, we propose a method for image ...

We conduct experiments on three representative tasks: JPEG compression artifacts removal, image super-resolution (classical and lightweight), and compressed image super-resolution. Experimental ...

There are cases when low-resolution images are ideal for use. Low-resolution images are ideal in cases where the image will not be used in a large format, there is a need to use less space on a ...

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your ...