Spatial variation point diffusion function smoothing method based on simple lens calculating imaging

A technology of point spread function and simple lens, which is applied in computing, image data processing, image enhancement, etc., can solve problems such as the time-consuming calculation process, the difficulty in implementing complex experimental environments, and the inaccurate estimation of spatially variable blur kernels, etc.

Active Publication Date: 2017-05-24
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0007] In view of the inaccurate estimation of the spatially varying blur kernel in the existing simple lens imaging method, the calculation process takes too long, and the complex experimental environment is difficult to realize, etc., the purpose of the present invention is to provide a spatially varying point spread function based on simple lens calculation imaging Smoothing

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  • Spatial variation point diffusion function smoothing method based on simple lens calculating imaging
  • Spatial variation point diffusion function smoothing method based on simple lens calculating imaging
  • Spatial variation point diffusion function smoothing method based on simple lens calculating imaging

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] like image 3 As shown, a method for smoothing a spatially varying point spread function based on simple lens computational imaging provided in this embodiment includes the following steps:

[0041] Step 1: Combine a simple lens with a network camera body to obtain a blurred image, such as Figure 4 As shown, the simple lens used in this embodiment includes 3 single lenses. The network camera adopted in this embodiment can capture images of 1080×1920 pixels, and its photosensitive element is a 1 / 1.9” inch CMOS.

[0042]Step 2: Transform the point spread function estimation problem in simple lens computing imaging into a blind convolution image restoration problem, that is, calculate the blur kernel of a simple lens through a b...

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Abstract

The invention provides a spatial variation point diffusion function smoothing method based on simple lens calculating imaging. The method is characterized by fully using characteristics of sparsity, similarity and the like of a single lens fuzzy kernel; firstly, using a blind convolution algorithm to estimate a fuzzy kernel of each image block, and combining fuzzy kernel TV priori; and then carrying out smoothing and de-noising processing on the fuzzy kernel, and based on a filtered PSF of neighborhood information, replacing an existing PSF. Compared to the prior art, by using the method of the invention, a complex experiment environment and equipment are not needed, the spatial variational PSF can be estimated through combining a correlation algorithm based on a simple lens system; robustness of a deconvolution process is increased; and a noise, a ringing effect and the like are restrained.

Description

technical field [0001] The invention mainly relates to the field of digital image processing, in particular to a space-varying PSF (point spread function) smoothing method based on simple lens calculation imaging. Background technique [0002] In modern optical systems, image quality will be reduced due to optical errors, and most single-convex lenses with spherical mirror structures will be affected by such as chromatic aberration, spherical aberration, and coma. In order to solve this dilemma, the existing optical imaging system mainly compensates for the aberration of the single lens through complex combination lenses. For example, the lens of a SLR camera may contain dozens of independent single lenses or lens groups. However, while the design of the complex combination lens improves the imaging quality, it undoubtedly greatly increases the cost of lens design and manufacture, and the volume and weight of the lens also increase thereupon. Therefore, how to reduce the de...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/003G06T2207/10016
Inventor 刘煜詹达之张政熊志辉徐玮
Owner NAT UNIV OF DEFENSE TECH
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