pervasiveFuture - The Website of Kelleher Guerin

+ Project 1 - Image Alignment

This project delt with creating a composite RGB image from a glass plate containing three seperate exposures, each taken with a different color filter. The challenge lies in correctly aligning the three channels to one another so the resulting image looks correct. There were two types of images to be processed using this technique. Small jpegs and very large .tiff files. For the larger files it was necessary to create an image pyramid consisting of smaller and smaller versions of the original image. The alignment algorithm was then applied to each of these pyramids, starting with the smallest first. This avoided a large scale search of the full sized image, instead searching in progressively smaller areas as the image size increased, and updating the position from the previous size. These images were cropped before processing to improve matching. Note, the bells and whisles implemented in this assignment was the cropping of the smaller images. This same method would have worked on the larger images, but the cropping algorithm i developed turned out take a prohibitively long time to run on them.

<< Return to Computational Photography

+ Allignment Images

The left image is the unaligned Image, the right is the aligned image. For larger images, the top is unaligned, bottom is aligned.