Method and apparatus for estimating image blurriness

A technology for ambiguity and ambiguity estimation, which is applied in the field of image ambiguity estimation without reference, can solve problems such as inconvenience, and achieve the effects of simple feature extraction process, good versatility and stability, and fast evaluation speed.

Active Publication Date: 2021-01-26
NUCTECH CO LTD
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Problems solved by technology

However, these methods do not take advantage of the consistency of image information on different scales, and many methods also need to train regression functions, which brings some inconvenience to practical applications.

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  • Method and apparatus for estimating image blurriness
  • Method and apparatus for estimating image blurriness
  • Method and apparatus for estimating image blurriness

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Embodiment Construction

[0022] Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described here are only for illustration, not for limiting the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one of ordinary skill in the art that these specific details need not be employed to practice the present invention. In other instances, well-known structures, materials or methods have not been described in detail in order to avoid obscuring the present invention.

[0023] In view of the problems in the prior art, the embodiments of the present invention propose a fast and effective method for evaluating the blurriness of a no-reference image. By extracting the relatively stable gradient histogram features of the image at different multi-scales, the quantitative evaluation of the image blurring...

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Abstract

A method and apparatus for estimating the blurriness of an image are disclosed. In this method, an image is obtained, and then the image is transformed to obtain a multi-scale representation of the image. An error vector between the gradient normalized histogram at each scale and the original gradient normalized histogram of the image is calculated, and the error vector at each scale is weighted and summed by the inverse of their sum of squares. The ambiguity estimation value is obtained based on the weighted and summed error vectors at each scale. Using the solutions of the above embodiments, the evaluation effect on blurred images of various contents is good, and the evaluation results have a high correlation with the evaluation results of human eyes.

Description

technical field [0001] The present application relates to image quality evaluation, in particular to a reference-free image blur estimation method and device. Background technique [0002] In various imaging systems, due to factors such as inaccurate focus, relative motion between the system and the object, and detector crosstalk, the image will be blurred, and the image quality will often degrade. Recognition and understanding have a certain impact. The severity of image blur can be quantitatively estimated by a certain evaluation algorithm, which can be used in image quality monitoring and automatic focusing of imaging systems, and can also guide the improvement of subsequent image processing algorithms. [0003] Image quality evaluation is divided into reference, semi-reference and no-reference methods. Considering that it is impossible to obtain undegraded clear images in practical applications, the image blur evaluation method without reference is more practical. No-r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20064G06T2207/30168G06T2207/20016
Inventor 陈志强李元景赵自然刘耀红顾建平王志明
Owner NUCTECH CO LTD
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