Contrast magnification is a critical parameter of image enhancement. Remote sensing
images are distance captured images, so they naturally have very low contrast as compared …

The visualization of computed tomography brain images is basically done by performing the
window setting, which stretches an image from the Digital Imaging and Communications in …

The computer vision-based roadside occupation surveillance system is a key infrastructure
component of Cooperative Intelligent Transport Systems. However, traffic images captured …

Digital imaging is widely applied in medical, surveillance, machine vision, and other fields.
Occasionally, limited light sources during image acquisition process cause non-uniform …

Multi-spectral satellite imagery is an ideal data source for comprehensive, real-time Earth
observation (EO) due to its extensive coverage of Earth and regular updates. It has a wide …

Image enhancement is used to improve the quality of an image. In this paper, two novel
algorithms CB (Center-to-Boundary) and BB (Boundary-to-Boundary) filters have proposed …

Contrast-enhanced computed tomography (CT) played an important role in detection of
hepatocellular carcinoma (HCC). However, it's contraindication to use contrast media in …

We present a new image enhancement algorithm based on combined local and global
image processing. The basic idea is to apply α-rooting image enhancement approach for …

Portable chest radiographs (CXRs) are commonly used in the intensive care unit (ICU) to
detect subtle pathological changes. However, exposure settings or patient and apparatus …

The enhancement of lung nodules in chest radiographs (CXRs) plays an important role in
the manual as well as computer-aided detection (CADe) lung cancer. In this paper, we …