Image classification and interpolation
Animesh Khemka, Charles A. Bouman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
We have developed a novel interpolation method for images containing text, graphics and natural scenes. The method allows us to select the best interpolation algorithm for different regions of an image. In particular, we segment the image into graphical and natural regions and use the appropriate algorithm for each region. The natural regions are interpolated using a current state-of-the-art algorithm. However, when applied to graphical images, the current state-of-the-art interpolators tend to produce artifacts at edge discontinuities. Thus, we developed a novel approach which we call Low Entropy Interpolation (LEI) algorithm for the graphical images. The LEI algorithm is highly non-linear and produces very sharp edges with very few defects necessary for good quality interpolation of graphical images.