Research at Central Queensland University on digital image enhancement is leading to development of a new tool that will remove high levels of noise from digital images, significantly increasing overall quality and picture resolution.

Associate Professor Russel Stonier of the School of Mathematical and Decision Sciences and Mohamed Anver, will present their findings on artificial intelligence and image processing at two conferences this week in the United States. (The 6th World Multi-Conference on Systemics, Cybernetics and Informatics in Orlando (Florida) and the 11th International Conference on Intelligent Systems in Boston (Massachusettes).

Professor Russell Stonier explained the tool, a new Fuzzy Filter, “overcomes many drawbacks in classical image enhancement and restoration methods currently being used. Two artificial intelligence techniques have been applied, fuzzy logic and evolutionary algorithms.”.

Digital image processing is a rapidly evolving technological field with a broad spectrum of applications such as remote sensing via satellites, image transmission and storage for business applications, digital movie making, digital cameras, radar, robotics and automated inspection of industrial parts.

Research into image processing holds the possibility of developing the ultimate machine that could perform the visual functions of all living beings. Imagine a robot using its own vision system to assist in household work, perform laborious tasks or inspect high-risk sites.

PHOTOS SUPPLIED: An example of what the Fuzzy Filter can do shows an image with 30% noise and an enhanced image