Abstract
We propose a novel approach to imaging that is not based on traditional
optical imaging architecture. With the new approach, the image is reconstructed
and visualized from random projections of the input object. The random projections
are implemented within a single exposure by using a random phase mask which
can be placed on a lens. For objects that have sparse representation in some
known domain (e.g., Fourier or wavelet), the novel imaging systems have larger
effective space–bandwidth product than conventional imaging systems.
This implies, for example, that more object pixels may be reconstructed and
visualized than the number of pixels of the image sensor. We present simulation
results on the utility of the new approach. The proposed approach can have
broad applications in efficient imaging capture, visualization, and display
given ever increasing demands for larger and higher resolution images, faster
image communications, and multidimensional image communications such as 3-D
TV and display.
© 2007 IEEE
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