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US 2010/0303367 A1Published application
Determining Intensity Similarity in Low-Light Conditions Using the Poisson-Quantization Noise Model
AssigneeMicrosoft Corporation
InventorsYasuyuki Matsushita, Xiaoou Tang, Francois Alter
Life of this patent
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Abstract
A Poisson-quantization noise model for modeling noise in low-light conditions is described. In one aspect, image information is received. A Poisson-quantization noise model is then generated from a Poisson noise model and a quantization noise model. Poisson-quantization noise is then estimated in the image information using the Poisson-quantization noise model.
Claims20
A computer-readable media having computer-program instructions executable by a processor for:
- receiving image information;
- generating a Poisson-quantization noise model from a Poisson noise model and a quantization noise model;
- estimating Poisson-quantization noise in the image information using the Poisson—quantization noise model;
- determining an intensity similarity function using the Poisson-quantization noise model;
- and
- finding pixel correspondence using the intensity similarity function.
3 more elements
A computing device comprising:
- a processor;
- and
- a memory coupled to the processor, the memory comprising computer-program instructions executable by the processor for:
- receiving image information;
- generating a Poisson-quantization noise model from a Poisson noise model and a quantization noise model;
- estimating Poisson-quantization noise in the image information using the Poisson-quantization noise model;
- determining an intensity similarity function using the Poisson-quantization noise model;
- and
- finding pixel correspondence using the intensity similarity function.
6 more elements
A computing device comprising:
- a processor;
- a Poisson-quantization noise modeling module executable on the processor to estimate Poisson quantization noise;
- an intensity similarity measure module executable on the processor to determine an intensity similarity function based on the estimated Poisson quantization noise;
- and
- a pixel correspondence module for finding pixel correspondence between image frames based on the intensity similarity function.
2 more elements
Dependencies are inferred from the claim text.