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We present a spatially variant framework for correcting uneven illumination and color cast, problems commonly associated with digitized books. The core of our method is a color image segmentation algorithm based on watershed transform and noise thresholding. We propose a threshold estimation method using the histogram of the gradient magnitude. The critical parameters of the segmentation are further...
Functional image classification is the assignment of different image types to separate classes to optimize their rendering for reading or other specific end task, and is an important area of research in the publishing and multi-average industries. This paper presents recent research on optimizing the simultaneous classification of documents, photos and logos. Each of these is handled during printing...
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