Fuzzy kernel obtaining and image de-blurring method and apparatus

A technology of fuzzy image and acquisition method, which is applied in the image field, can solve the problems of large measurement error and complicated calculation process, and achieve the effect of simple calculation and accurate calculation

Active Publication Date: 2017-04-26
NETPOSA TECH
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Problems solved by technology

In this image deblurring method, since it is necessary to manually measure multiple blur kernels to deblur the same blurred image, the calculation process is complicated and the measurement error is large.

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  • Fuzzy kernel obtaining and image de-blurring method and apparatus
  • Fuzzy kernel obtaining and image de-blurring method and apparatus
  • Fuzzy kernel obtaining and image de-blurring method and apparatus

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Embodiment Construction

[0065] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making...

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Abstract

The invention provides a fuzzy kernel obtaining and image de-blurring method and apparatus wherein the method comprises the following steps: mapping a fuzzy picture into a cepstral domain; obtaining the cepstral image of the fuzzy picture; according to the cepstral image, determining the fuzzy category of the fuzzy picture; according to the cepstral image, using the fuzzy kernel size statistical method corresponding to the fuzzy category to calculate the fuzzy kernel size; and based on the fuzzy kernel size, generating the fuzzy kernel. The embodiments of the invention do not need manual intervention to obtain the fuzzy kernel size so that calculations become simpler and more accurate.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to a method and device for acquiring a blur kernel and image deblurring. Background technique [0002] In the process of image generation, transmission and recording, some distortion and different degrees of deterioration will inevitably be introduced, and this phenomenon is called image degradation. The degraded image is processed to restore the real scene. This process is called image restoration, also known as image restoration. Since every link in the digital image formation process may cause image quality degradation, therefore, in order to obtain a high-quality digital image, in many cases, the image needs to be restored. [0003] There are different causes of blurring and different types of blurring. Existing blurred images for spatial consistency, such as uniform linear motion blur, defocus blur, and hybrid blur, are generally deblurred by non-blind deconvolution me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 曲兰鹏李衡峰陈家辉
Owner NETPOSA TECH
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