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Single lens computational imaging method based on combined fuzzy nuclear structure prior

A computational imaging and fuzzy kernel technology, applied in computing, image communication, image enhancement, etc., can solve the problems of low PSF accuracy and affecting image restoration effect

Active Publication Date: 2015-05-06
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0012] Aiming at the problem that the current blur kernel prior does not match the actual PSF of a single lens in single-lens computational imaging, resulting in low accuracy of the PSF recovered by the blind convolution image restoration algorithm and affecting the final image restoration effect, the present invention proposes a A Single-Lens Computational Imaging Method Based on Combined Blur Kernel Structure Prior

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  • Single lens computational imaging method based on combined fuzzy nuclear structure prior
  • Single lens computational imaging method based on combined fuzzy nuclear structure prior
  • Single lens computational imaging method based on combined fuzzy nuclear structure prior

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[0060] Below in conjunction with accompanying drawing, the present invention is described in detail:

[0061] The single-lens computational imaging method based on combined blur kernel structure prior provided in this embodiment includes the following steps:

[0062] S1: Under the normal aperture size, the blurred image is obtained by the fabricated single-lens camera. Single-lens camera and the blurred image obtained by the camera such as Figure 4 shown;

[0063] S2: Transform the aberration correction problem of blurred images into a blind convolution image restoration problem. Under the maximum a posteriori probability model, the statistical model of the blind convolution image restoration problem can be expressed as:

[0064] argmaxP(K,I|B)=argmaxP(B|I,K)P(I)P(K) (1)

[0065] Among them, K represents the blur kernel of the single lens, also known as the point spread function PSF; I represents the clear image; B represents the blurred image directly obtained by the sing...

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Abstract

The invention discloses a single lens computational imaging method based on combined fuzzy nuclear structure prior. Firstly, a single lens camera is utilized to obtain a fuzzy image; an aberration correction question of the fuzzy image is converted into a blind convolution image restoration question; a combined fuzzy nuclear structure prior is added to the objective function of a blind convolution image restoration algorithm; for the objective function added to the combined fuzzy nuclear prior, the PSF of a single lens is estimated by adoption of a corresponding interactive optimization algorithm; and for the obtained PSF of the single lens, a final clear image is obtained by utilization of a corresponding non-blind convolution image restoration algorithm. Through the features of the single lens fuzzy nuclear structure, when a fuzzy nuclear of the space variation is estimated, different regions adopt different fuzzy nuclear prior. The combined fuzzy nuclear structure prior can more accurately respond the structural features of the PSF of the single lens and further improve the PSF accuracy estimated by the blind convolution image restoration algorithm so that the quality of the image restoration can be finally improved.

Description

technical field [0001] The invention mainly relates to the field of digital image processing, in particular to a single-lens imaging method based on combined fuzzy kernel structure prior. Background technique [0002] At present, SLR cameras are playing an increasingly important role in people's daily life due to their advantages such as high-definition imaging quality, rich lens selection, fast response speed, and excellent manual control ability. However, in order to compensate for the geometric distortion and aberration of the lens in the SLR lens and further improve the imaging quality, the design of the SLR lens is becoming more and more complex, even including dozens of independent optical devices. While improving the imaging quality, complex lenses will undoubtedly increase the volume and weight of the lens, which will also greatly increase the cost of the lens. The increase in lens volume and weight has brought inconvenience to users' daily use, and the increase in ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00H04N5/225
Inventor 刘煜李卫丽张茂军熊志辉王炜
Owner NAT UNIV OF DEFENSE TECH
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