Pyramidal vision model applied to astronomical images

Details Pyramidal vision model applied to astronomical images Pyramidal vision model applied to astronomical images

Oct 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2825..373r&link_type=abstract

Proc. SPIE Vol. 2825, p. 373-383, Wavelet Applications in Signal and Image Processing IV, Michael A. Unser; Akram Aldroubi; Andr

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A multiscale vision model based on a pyramidal wavelet transform is described in the present paper. The pyramidal wavelet algorithm is modified in order to satisfy a correct sampling at each scale. Objects are defined by trees of statistically significant coefficients in the wavelet transform space. The object images are then restored using the conjugate gradient method. By comparing with the model based on the a trous algorithm, tests on simulated and real images show that this model presents a good compromise between analysis quality and the memory space and computation time needed.

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