Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Oct. 30-Nov. 2, 2005, pp. 1655-1659.

Halftoning-Inspired Methods for Foveation in Variable-Acuity Superpixel Imager (VASI) Cameras

Thayne R. Coffman (1)(3), Brian L. Evans (2), and Alan C. Bovik (1)

(1) Laboratory for Image and Video Engineering, Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA
coffman@ece.utexas.edu - bovik@ece.utexas.edu

(2) Embedded Signal Processing Laboratory, Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA
bevans@ece.utexas.edu

(3) 21st Century Technologies, Austin, TX.

Talk - Paper

Abstract

We compare approaches for generating binary control signals for variable acuity superpixel imager (VASI) cameras. We foveate a set of images using control signals generated by various halftoning approaches and then measure their performance via figures of merit (FOMs). We find that two novel approaches provide superior FOM values but inferior bandwidth control, making them unsuitable for use with VASI cameras. Floyd-Steinberg error diffusion gives the best combination of FOM values and bandwidth control. Our contributions include a comparison of approaches, a lookup table method to improve bandwidth control, and two novel methods for binarizing VASI control signals.

VASI is a trademark of Nova Sensors, Inc.

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Last Updated 11/08/04.