Image classification and interpolation

Animesh Khemka; Charles A Bouman

doi:10.1117/12.908889

2 February 2012 Image classification and interpolation

Animesh Khemka, Charles A Bouman

Proceedings Volume 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II; 82950O (2012) https://doi.org/10.1117/12.908889
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

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.

Citation Download Citation

Animesh Khemka and Charles A Bouman "Image classification and interpolation", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950O (2 February 2012); https://doi.org/10.1117/12.908889

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