Title: Image Mosaicing using a random set of Images
Group Members: Anne Aaron, Michael Hill, Anand Srivatsa

The goal of the project is to create an algorithm that will produce a 
replica of an image using a mosaic of random images. The project will 
initially be designed to be scalable so that various goals can be reached
 before the ultimate conclusion. 

The project has three goals which build on each other. The first is to 
generate the mosaicing effect using gray-scale images alone. This will 
allow concentration of the algorithm on the shape and pattern matching of 
the individual pictures in the mosaic. The second phase will be to do the 
mosaic in color. This adds the complexity of color matching as well as shape 
matching. The last add-on will be the generation of a mosaic with random 
sized images. Therefore instead of a mosaic generated with 512 square images, 
the new mosaic will be generated with varying numbers of rectangular 
shaped images.

There will be two main parts to this project. The first part will be 
developing an algorithm for pattern and color matching. Secondly, an 
investigation into the properties of magnification will have to be carried 
out to generate the last version of the mosaic. This will need to be done 
so that there will not be computational overhead each time a mosaic is 
generated.

The goal of the project will be to create a more sophisticated algorithm 
than a simple color matching scheme. We will also use pattern matching, 
reducing the number of subimages used in the picture.