The  Weizmann  Institute  of  Science
                  Faculty of Mathematics and Computer Science

                          Vision and Robotics Seminar

                                 Michael Werman
                   School of Computer Science and Engineering
                             The Hebrew University

                                 will speak on

                              Image Processing x 2

1) How to transform a picture with many bits per pixel in order to display
it on a device with less bits so that the image is visually nice.

We present a new method for rendering high dynamic range images on conventional
displays. Our method is conceptually simple, computationally efficient, robust,
and easy to use. We manipulate the gradient field of the luminance image by 
attenuating the magnitudes of large gradients. A new, low dynamic range image 
is then obtained by solving a Poisson equation on the modified gradient field. 
Our results demonstrate that the method is capable of drastic dynamic range 
compression,while preserving fine details and avoiding common artifacts, 
such as halos, gradient reversals, or loss of local contrast.  
The method is also able to significantly enhance ordinary images by bringing
out detail in dark regions.

2) How does a digital camera see color and what should we do about it.

We present a color model that is image dependant and useful for overcoming 
the nonlinearity of digital cameras. The model is suitable for color image 
segmentation and enables one to easily manipulate and enhance the colors of
an image.

                      The lecture will take place in the 
                     Lecture Hall, Room 1, Ziskind Building
                          on Thursday, January 2, 2003
                                    at 11:00