Low-complexity digital filter geometry for spherical coded imaging systems

Guotong Feng; Mohammed Shoaib; M. Dirk Robinson

doi:10.1117/12.826745

24 August 2009 Low-complexity digital filter geometry for spherical coded imaging systems

Guotong Feng, Mohammed Shoaib, M. Dirk Robinson

Proceedings Volume 7429, Novel Optical Systems Design and Optimization XII; 742902 (2009) https://doi.org/10.1117/12.826745
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Recent research in the area of electro-optical system design identified the benefits of spherical aberration for extending the depth-of-field of electro-optical imaging systems. In such imaging systems, spherical aberration is deliberately introduced by the optical system lowering system modulation transfer function (MTF) and then subsequently corrected using digital processing. Previous research, however, requires complex digital postprocessing algorithms severely limiting its applicability to only expensive systems. In this paper, we examine the ability of low-cost spatially invariant finite impulse response (FIR) digital filters to restore system MTF degraded by spherical aberration. We introduce an analytical model for choosing the minimum, and hence cheapest, FIR filter size capable of providing the critical level sharpening to render artifact-free images. We identify a robust quality criterion based on the post-processed MTF for developing this model. We demonstrate the reliability of the estimated model by showing simulated spherical coded imaging results. We also evaluate the hardware complexity of the FIR filters implemented for various spherical aberrations on a low-end Field-Programmable Gate Array (FPGA) platform.

Citation Download Citation

Guotong Feng, Mohammed Shoaib, and M. Dirk Robinson "Low-complexity digital filter geometry for spherical coded imaging systems", Proc. SPIE 7429, Novel Optical Systems Design and Optimization XII, 742902 (24 August 2009); https://doi.org/10.1117/12.826745

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