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Removing Camera Shake from a Single Photograph

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Title: Removing Camera Shake from a Single Photograph


1
Removing Camera Shake from a Single Photograph
  • Rob Fergus, Barun Singh, Aaron Hertzmann,
  • Sam T. Roweis and William T. Freeman
  • ACM SIGGRAPH 2006, Boston, USA
  •  

2
Outline
  • Overview
  • Proposed method for camera shake removing
  • Simulation results

3
Image blur due to camera shake
Desired image
Degraded image
4
Image formation process

?

Blurry image
Sharp image
Blur kernel
Gaussian noise
Desired output
Input to algorithm
Convolutionoperator
5
Image formation process
  • A linear imaging model is assumed in this paper,
    that is

Prior for blur kernel
Observation model
Prior for image
6
Prior model for nature image (1)
  • Characteristic distribution of sharp image with
    heavy tails

Histogram of image gradient
7
Prior model for nature image (2)
  • Use parametric model for sharp image statistics

8
Prior model for blur kernel (1)
  • The characteristics of blur kernel are positive
    and sparse


?
Blur kernel
Blurry image
Sharp image
9
Prior model for blur kernel (2)
  • Assume the probability distribution of the
    element of blur kernel is the mixture of
    exponential distributions

Exponential distribution
10
Model transformation
  • The imaging model need to be transformed before
    we using the image gradient prior, that is

11
Variational Baye (1)
  • Illustration for Bayesian mean squared error
    estimator (Minimum mean squared error estimator,
    MMSE)

Parameter space ?
Observed data
?1
?3
Process
d
?2
12
Variational Baye (2)
  • Apply MMSE estimator for blur kernel estimation

It may be difficult to find the integration
result of the posterior probability
13
Variational Baye (3)
  • Factorize the previous posterior probability
    for blur kernel inference
    operation

14
Variational Baye (4)
  • The factorization of the posterior probability
    could be modeled as an optimization problem

15
Original photograph
16
Blur kernel
Proposed method
17
Original photograph
Matlabs deconvblind
18
Original photograph
19
Matlabs deconvblind
20
Proposed method
Blur kernel
21
Original photograph
22
Proposed method
Blur kernel
23
Original photograph
Proposed method
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