Abstract: The existing infrared and visible image fusion methods typically apply small kernel convolution that can extract local information or details of the source images but cannot easily perceive ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Aim was to evaluate the influence of different quantum iterative reconstruction (QIR) levels on the image quality of femoral photon-counting CT angiographies (PCD-CTA). Ultra-high resolution PCD-CTA ...

Abstract: Super-resolution techniques serve as a cornerstone in the realm of image processing, offering a pathway to elevate the resolution and fidelity of images, thus opening up a myriad of ...

Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral ...

The receptive field is defined as the region in the input space that a particular CNN’s feature is looking at (i.e. be affected by). For convolutional neural network, the number of output features in ...

Solitary pulmonary nodule (SPN) is defined as approximately rounded opacity measuring up to 3 cm in diameter appears on imaging as focal opacities surrounded by aerated lung 1,2. Differential ...