This report presents the results of a partial differential equation (PDE)-based image enhancement algorithm, for dynamic range compression and illumination correction in the absence of the logarithmic function. The proposed algorithm combines forward and reverse flows in a PDE-based formulation. The experimental results are compared with algorithms from the literature and indicate comparable pe...

Face recognition has been a central topic in computer vision for at least two decades and progress in recent years has been significant. Automated face recognition systems are now widespread in applications ranging from surveillance to personal computers. In contrast, only a handful of neurobiologically plausible computational models have been proposed to try to explain the processing of faces ...

We present an implementation of the analysis of dynamic near field scattering (NFS) data using a graphics processing unit. We introduce an optimized data management scheme thereby limiting the number of operations required. Overall, we reduce the processing time from hours to minutes, for typical experimental conditions. Previously the limiting step in such experiments, the processing time is n...

The goal of this project is to compute a bound on the minimum error inherent in rendering a floating point image on a high dynamic range (HDR) display. The standard methods for rendering to this and similar devices will need to be real time. While they will employ the computation power of the GPU, many shortcuts which can affect image quality will be required in order to obtain interactive fram...

Spectral filter arrays imaging exhibits a strong similarity with color filter arrays. This permits us to embed this technology in practical vision systems with little adaptation of the existing solutions. In this communication, we define an imaging pipeline that permits high dynamic range (HDR)-spectral imaging, which is extended from color filter arrays. We propose an implementation of this pi...