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Single Image Defocus Blur Estimation Algorithm Based on Multi-scale Gradient Difference

A defocus blur, single image technology, applied in the field of single image defocus blur estimation algorithm, can solve the problems of inaccurate defocus blur value, not combined with multi-scale strategy, etc., to achieve the effect of suppressing ambiguity

Active Publication Date: 2020-05-26
TIANJIN UNIV
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  • Application Information

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Problems solved by technology

[0007] Although the above methods are able to estimate the defocus map from a single image, these methods do not incorporate multi-scale strategies, which leads to inaccurate estimated defocus blur values.
So far, in the papers and literatures published at home and abroad, there is no single image defocus blur estimation algorithm based on multi-scale gradient difference.

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  • Single Image Defocus Blur Estimation Algorithm Based on Multi-scale Gradient Difference
  • Single Image Defocus Blur Estimation Algorithm Based on Multi-scale Gradient Difference
  • Single Image Defocus Blur Estimation Algorithm Based on Multi-scale Gradient Difference

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Embodiment Construction

[0051] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0052] As shown in the figure, it is a schematic diagram of the overall flow of the single image defocus blur estimation algorithm of the present invention. The algorithm includes two steps: edge position defocus blur estimation and filtering and interpolation of the sparse defocus map. The detailed process is described as follows:

[0053] Step 1. Edge position defocus blur estimation

[0054] Given an ideally focused image i(x,y), the corresponding blurred image p(x,y) is modeled as:

[0055]

[0056] Among them, (x, y) represents the pixel coordinates in the image, σ represents the defocus blur amount of each pixel in the original image, g(x, y, σ) represents a two-dimensional Gaussian function, and the specific expression is:

[0057]

[0058] First define a set of two-dimensional Gaussian kernels g(x,y,σ k ), and its fuzzy scale is σ 1 2 n ; Ne...

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Abstract

The invention discloses a single image defocus blur estimation algorithm based on multi-scale gradient difference, comprising the following steps: S1, carrying out edge location defocus blur estimation; and S2, filtering and interpolating a sparse defocus map to get a full-defocus map. Compared with the prior art, the defocus value at each pixel of an image can be calculated accurately, the defocus estimation algorithm can effectively restrain the ambiguity of fuzzy texture, and a high-precision defocus map can be obtained for defocus blurred images of different scene types.

Description

technical field [0001] The invention relates to the technical field of image blurring processing of computer vision, in particular to a single image defocus blur estimation algorithm. Background technique [0002] Image blur refers to the image degradation caused by a sensor pixel unit receiving light from multiple scene points. It is mainly caused by camera shake, optical defocus, and the movement of target objects in the shooting scene. In the actual shooting process, the objects in the scene are at different depths. Due to the shallow depth of field limitation of the imaging system, the captured images have spatially varying defocus blur. Defocus estimation is to estimate the degree of blur in different regions from the defocus blurred image. [0003] In recent years, several algorithms have been devoted to estimating defocus maps from a single image. Prior art references include: [0004] 1) Use the step function to simulate the edge structure, and then use the functi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/41
CPCG06T2207/10004G06T2207/20016
Inventor 周圆陈阳张天昊杨建兴侯春萍
Owner TIANJIN UNIV
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