Abstract
We introduce the concept of pyramid images in problems of image reconstruction, and demonstrate that they provide a natural way to account for spatial correlation, especially when the images have many different length scales. Virtually all length scales can be accounted for because images are formed from a weighted sum of a 1 × 1 pixel channel, a 2 × 2 channel, a 4 × 4 channel, etc. All channels cover the entire image, and each channel can be tuned optimally for its own scale length. Diagnostics for fine-tuning may be introduced in a straightforward manner. Image reconstructions through pyramid images are only a factor 4/3 larger in size than conventional single channel methods.
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© 1993 Springer Science+Business Media Dordrecht
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Bontekoe, T.R. (1993). Pyramid Images. In: Mohammad-Djafari, A., Demoment, G. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 53. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2217-9_41
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DOI: https://doi.org/10.1007/978-94-017-2217-9_41
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4272-9
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