Adam Konieczka

Brightness Correction and Stereovision Impression Based Methods of Perceived Quality Improvement of CCTV Video Sequences

In this paper brightness correction and stereovision impression based methods of the perceived quality improvement of CCTV video sequences are presented. These methods are helpful for the monitoring operator in order to evoke attention during a long time observation. Clearness of picture is increased by using local brightness correction method. Another available option is a 3D visualization that can be used, e.g., to observe important image regions, which require an increased attention. Stereovision impression experiments and a real-time 2D to 3D video conversion tool are described.

Mobile applications for driver and pedestrian assistance

In this paper two applications, which fit into the current trend of the development of mobile devices, are described. The first is designed for the driver and the second for the pedestrian assistance. Two traffic events like traffic lights change from the red to the green and vehicle approaching to pedestrian are detected. Proper warnings are generated and the suitable reaction is performed. The car may start movement without unnecessary delay and the pedestrian may change the movement trajectory in order to avoid an accident. Thus, the proper traffic flow and urban safety improvement are supported. Results of initial experiments show a high efficiency of proposed mobile solutions.

HDR tonal mapping algorithm for mobile devices

In this paper the application for generation of HDR image based on two consecutive images (underexposed and overexposed) for Android mobile operating system is presented. The implemented software preserves a lot of image details and maintains a low execution time. These features are particularly important for pictures taken using mobile devices in emergency situations. Such photos may constitute evidence that a threat occurred, was properly recognized, or someone committed a crime. HDR images can be also used in mobile systems for supporting pedestrians or drivers. Obtained results indicate on a high effectiveness of the presented solution.

Approach to local contrast enhancement

In this article a simple and fully automatic approach to local contrast enhancement is presented, maintaining reasonable computational complexity and feasibility of simultaneous calculations on multiple processors. The authors propose an algorithm, which allows to obtain images with artificially increased dynamic range. The resulting images do not contain unnatural artifacts and are close to images perceived by humans. Results of experiments show that the described method offers very good results even for images obtained with a large range of differences in the exposures.