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Proceedings Paper

Multiresolution scanning imager with spatially uniform noise response based on a new class of Hadamard masks
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Paper Abstract

In spite the prodigious growth in the market for digital cameras, they have yet to displace film-based cameras in the consumer market. This is largely due to the high cost of photographic resolution sensors. One possible approach to producing a low cost, high resolution sensor is to linearly scan a masked low resolution sensor. Masking of the sensor elements allows transform domain imaging. Multiple displaced exposures of such a masked sensor permits the device to acquire a linear transform of a higher resolution representation of the image than that defined by the sensor element dimensions. Various approaches have been developed in the past along these lines, but they often suffer from poor sensitivity, difficulty in being adapted to a 2D sensor or spatially variable noise response. This paper presents an approach based on a new class of Hadamard masks--Uniform Noise Hadamard Masks--which has superior sensitivity to simple sampling approaches and retains the multiresolution capabilities of certain Hadamard matrices, while overcoming the non-uniform noise response problems of some simple Hadamard based masks.

Paper Details

Date Published: 15 May 2000
PDF: 14 pages
Proc. SPIE 3965, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications, (15 May 2000); doi: 10.1117/12.385462
Show Author Affiliations
Donald J. Bone, Advanced Image Research (Australia)
Dan C. Popescu, CSIRO Mathematical and Information Sciences (Australia)


Published in SPIE Proceedings Vol. 3965:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications
Morley M. Blouke; Nitin Sampat; Thomas Yeh; Nitin Sampat; George M. Williams; Thomas Yeh, Editor(s)

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