Comparison of microscan and optical prefiltering models for aliasing artifacts reduction in discrete imaging systems

Details Comparison of microscan and optical prefiltering models for aliasing artifacts reduction in discrete imaging systems Comparison of microscan and optical prefiltering models for aliasing artifacts reduction in discrete imaging systems

Aug 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998spie.3553..222z&link_type=abstract

Proc. SPIE Vol. 3553, p. 222-230, Detectors, Focal Plane Arrays, and Imaging Devices II, Pingzhi Liang; Marc Wigdor; William G.

Computer Science

Performance

Scientific paper

Sampling is a necessity in discrete imaging systems. In the event that the scene being sampled contains information with frequencies greater than half the sampling frequency, the resulting samples will contain aliasing error artifacts caused by spectral foldover of the periodic sampled image data. We analyze two models for the reduction of aliased signal energy in discrete imaging systems, microscan model and optical refiltering model. Microscan model means translating the image over the detector array by a subpixel distance and then resampling the image, thus increasing the spatial sampling rate to provide the discrete imaging system with a large aliasing-less bandwidth. Optical refiltering model means considering an optical prefilter which makes an image to have no frequencies greater than the Nyquist frequency, insuring that any aliasing information will not appear in the output image. Computer simulation is presented to compare these two models and relative merits of each of them are discussed. It is difficult to say which model is better due to their different schemes in dealing with the high frequencies. A performance tradeoff selection between microscan and refiltering must include the purposes, conditions and quality demands of the imaging process practically considered.

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