Imaging technology has the potential to provide great benefits in terms of public safety and security. Applications such as object detection and collision avoidance have been the subject of sustained worldwide infrastructure investment. However when imaging in adverse atmospheric conditions over short ranges or typical atmospheric conditions over longer ranges (>1 KM), images have poor contrast and little colour. Examples of adverse conditions include fog, rain, mist and blown sand. Automatic image processing may fail in such circumstances. Electronic image processing has been shown to improve both subjective image quality and the reliability of automatic processing in moderate to poor visibility conditions (for example category II and category III fog). Hence it is important to understand and exploit research into processing algorithms for image enhancement. This series of lectures will cover the mechanisms by which contrast loss occurs in visible and Infrared (IR) images, the algorithms which are available for mitigating contrast loss and the practical image processing architectures which can be used to deliver the required electronic processing. The teaching will be reinforced using hands-on practical laboratory work using the SAMEER-TU Outdoor Database of visible and IR images. The course is intended as a meeting for discussing various imaging technologies, to provide a mechanism for exchange of ideas and technologies between academics and

Some Images During GIAN Course

               It has been over 100 years since the advent of photographs as a visual record of events, people and places. Today, with an increasing volume of images being captured across an ever-expanding range of devices and innovative technologies that enable fast and easy dissemination, digital images have become ubiquitous in modern life. In parallel to advances in technology, digital images and video are now relied upon as the primary source for news, entertainment and used as evidence in a court of law ad as a part of medical and financial records. This dependence on digital media, however, has also brought with it a new set of issues and challenges. Today, more than ever, we cannot simply accept photographs at face value. Digital image forensics is a young and emerging field that concerns with obtaining quantitative evidence on the origin and veracity of digital images. It also consists of finding image evidence in a suspect device and organization of this extracted evidence for more efficient search. The goal of the course is to present a comprehensive overview and understanding of different aspects of digital image forensics that would be valuable researchers, forensic experts, law enforcement personnel and legal professionals. The course is intended as a meeting for discussing various image forensics problems and solutions, to provide a mechanism for exchange of ideas and technologies between academics and industry from a global audience.

Some Images During GIAN Course