Articles tagged with Image Processing
Researchers at Carnegie Mellon developed a smart system that improves darkened photographs by digitally adding light to shadows. The tool, called Shadow Illuminator, uses principles based on human vision processes to enhance details within shadows.
A digital imaging system is being developed to automate the inspection process at a bakery, allowing for faster and more accurate quality control. The system uses computerized vision technology to identify imperfections in bread rolls and automatically remove them from production lines.
Researchers have developed a new method called kinetic visualization that uses colored dots and motion to present three-dimensional scientific or medical data. This technique allows computers to display data in a different way, providing shape information and attracting attention to important areas.
Research at Cornell University found that cooking tomatoes enhances nutritional value by increasing lycopene content, a powerful antioxidant. Vitamin C levels decrease with heat, but antioxidants in cooked tomatoes increase, potentially reducing chronic disease risk.
A new type of analog processor, compact and fast for image processing, has the potential to replace damaged human retinas with an artificial eye. The cellular nonlinear network (CNN) chip is integrated with a camera to produce an image processor, mimicking the functions of the retina.
Research by Marlene Behrmann seeks to understand how the human brain interprets visual information, enabling us to recognize objects and locations. Her work aims to shed light on the neural processes underlying visual mental imagery and its relationship with perception.
The University of Colorado at Boulder has acquired two state-of-the-art electron microscopes, enabling researchers to image cellular structures in three dimensions at unprecedented resolution. This advancement is made possible by a suite of complementing computers that run programs developed by CU-Boulder researchers.
Researchers are developing computer simulations of human visual processing to help individuals with low-vision disorders. The technology aims to process images in ways that compensate for defects, such as macular degeneration and glaucoma.
Purdue University researchers developed a Near-Infrared Raman Imaging Microscope called NIRIM, which can analyze composite materials in real time. The instrument uses laser light to fingerprint samples as they are viewed under a microscope, providing detailed chemical information.
Researchers developed a new imaging technique to identify abnormal blood vessels in the brain, improving diagnosis and treatment of related conditions. The 'high resolution BOLD venography' method revealed detailed information on blood vessel malformations in nine out of ten patients.