Adaptive image acquisition for multiframe reconstruction
AssigneeRicoh Company, Ltd.
InventorsM. Dirk Robinson, Junlan Yang, David G. Stork
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Abstract
Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction is applied to the set of acquired images to synthesize a reconstructed image of the object.
Claims25
A method for multiframe reconstruction of an object comprising:
- acquiring a set of K images of the object at different acquisition settings, where K≧2;
- for a (k+1)st of the K acquired images, where k≧1, after acquiring the first k images, determining the acquisition setting for the (k+1)st image based at least in part on selecting the acquisition setting to optimize a cost function, wherein one component of the cost function is based on an error between (a) an estimated image ŝk+1 that is a multiframe reconstruction of the object from the (k+1) acquired images and (b) an ideal image;
- and
- applying multiframe reconstruction to the set of K images, wherein the multiframe reconstruction estimates the image ŝK from the K acquired images based on minimizing the error between the estimated image ŝK and the ideal image.
A multiframe reconstruction system comprising:
- an image capture device that acquires a set of K images at various acquisition settings, where K≧2;
- an adaptive acquisition module coupled to the image capture device to receive the acquired images, the adaptive acquisition module (a) instructing the image capture device to acquire a set of at least two images of an object at different acquisition settings, and (b) for a (k+1)st of the K acquired images, where k≧1, after acquiring the first k images, determining the acquisition setting for the (k+1)st image based at least in part on selecting the acquisition setting to optimize a cost function, wherein one component of the cost function is based on an error between (a) an estimated image ŝk+1 that is a multiframe reconstruction of the object from the (k+1) acquired images and (b) an ideal image;
- and
- a multiframe reconstruction module coupled to the adaptive acquisition module, for applying multiframe reconstruction to the set of K images, wherein the multiframe reconstruction estimates the image ŝK from the K acquired images based on minimizing the error between the estimated image ŝK and the ideal image.
A non-transitory computer readable medium containing software instructions that, when executed on a computerized system, cause the computerized system to:
- cause the acquisition of a set of K images of an object at different acquisition settings, where K≧2;
- receive the acquired images;
- and
- for a (k+1)st of the K acquired images, where k≧1, after acquiring the first k images, determine the acquisition setting for the (k+1)st image based at least in part on selecting the acquisition setting to optimize a cost function, wherein one component of the cost function is based on an error between (a) an estimated image ŝk+1 that is a multiframe reconstruction of the object from the (k+1) acquired images and (b) an ideal image;
- wherein an estimated image ŝK from the K acquired images is estimated by applying a multiframe reconstruction that is based on minimizing the error between the estimated image ŝK and the ideal image.
A method for multiframe reconstruction of an object comprising:
- acquiring a set of K images of the object at different acquisition settings, where K≧2;
- for a (k+1)st of the K acquired images, where k≧1, after acquiring the first k images, determining the acquisition setting for the (k+1)st image based at least in part on selecting the acquisition setting to optimize a cost function, wherein one component of the cost function is a Cramer-Rao performance bound on the mean-square-error between (a) the estimated image ŝK that is a multiframe reconstruction of the object and (b) an ideal image;
- and
- applying multiframe reconstruction to the set of K images, wherein the multiframe reconstruction estimates the image ŝK from the K acquired images based on a multiframe Wiener solution that minimizes the error between the estimated image ŝK and the ideal image.
Dependencies are inferred from the claim text.