Matthias Kramm

Learn More
—When dealing with large scale image archive systems , efficient data compression is crucial for the economic storage of data. Currently, most image compression algorithms only work on a per-picture basis — however most image databases (both private and commercial) contain high redundancies between images, especially when a lot of images of the same(More)
An image compression approach capable of exploiting redundancies in groups of images is introduced. The approach is based on image segmentation, texture analysis and texture synthesis. The proposed algorithm extracts textured regions from an image and merges them with similar texture data from other images, in order to take advantage of textural(More)
  • 1