Influence of signal-to-noise ratio and point spread function on limits of super-resolution

Pham, T.Q.; Van Vliet, L.; Schutte, K.

Influence of signal-to-noise ratio and point spread function on limits of super-resolution

Title

Influence of signal-to-noise ratio and point spread function on limits of super-resolution

Author

Pham, T.Q.
Van Vliet, L.
Schutte, K.

Faculty

Applied Sciences

Department

Quantitative Imaging Group

Date

2005-03-01

Abstract

This paper presents a method to predict the limit of possible resolution enhancement given a sequence of lowresolution images. Three important parameters influence the outcome of this limit: the total Point Spread Function (PSF), the Signal-to-Noise Ratio (SNR) and the number of input images. Although a large number of input images captured by a system with a narrow PSF and a high SNR are desirable, these conditions are often not achievable simultaneously. To improve the SNR, cameras are designed with near optimal quantum efficiency and maximum fill-factor. However, the latter widens the system PSF, which puts more weight on the deblurring part of a super-resolution (SR) reconstruction algorithm. This paper analyzes the contribution of each input parameters to the SR reconstruction and predicts the best attainable SR factor for given a camera setting. The predicted SR factor agrees well with an edge sharpness measure computed from the reconstructed SR images. A sufficient number of randomly positioned input images to achieve this limit for a given scene can also be derived assuming Gaussian noise and registration errors.

Subject

super-resolution limit
fill-factor
under-sampling
deconvolution limit
registration error

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http://resolver.tudelft.nl/uuid:90a46f18-e5d3-4db1-8584-4e86453c64b7

Publisher

SPIE

ISSN

0277-786X

Source

Proceedings of SPIE, 2005 vol. 5672

Part of collection

Institutional Repository