Finite Automata Computing Real Functions
SIAM Journal on Computing
Image-data compression using edge-optimizing algorithm for WFA inference
Information Processing and Management: an International Journal - Special issue: data compression
Weighted finite transducers in image processing
Discrete Applied Mathematics
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Weighted finite automata (WFA) is a tool for specifying real functions and in particular grayscale images. The image compression software based on this algorithm is competitive with other methods in compression of typical grayscale images. It performs particularly well for high compression rates, for color images, and compared to other methods it has several additional advantages. This paper mainly deals with image manipulation. Weighted finite transducers (WFT) can be used to specify the widest variety of image transformations (linear operators on grayness functions). The authors briefly introduce WFA and WFT and give some examples of image transformations specified by WFT.