Method for measuring fuzziness degree of image
A technology of fuzziness and fuzziness, which is applied in the field of face images or vehicle images, can solve the problems that cannot reflect the essential attributes of images, cannot describe the degree of image blur, and affect image quality
Inactive Publication Date: 2015-12-23
NANJING INST OF TECH
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However, in every step of digital image acquisition, processing, encoding, storage, transmission and reconstruction, it usually affects the quality of the image. How to evaluate image quality has become a basic and challenging problem in the fields of image processing and computer vision. sexual problems
[0003] In the prior art, the measurement method of digital image quality basically only gives the deviation between the original image and the reconstructed image, but cannot reflect the essential attributes of the image, let alone describe the blurring degree of the image
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[0053] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Other embodiments may include structural, logical, electrical , process, and other changes. The examples merely represent possible variations. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. These embodiments of the present invention may be referred to herein individually or collectively by the term "invention", which is for convenience only and is not intended to automatically limit the scope of this application if in fact more than one invention is disclosed For any single inve...
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The invention provides a method for measuring the fuzziness degree of an image, and the method comprises the following steps: I, carrying out two-dimensional orthogonal wavelet transformation of the image; II, determining an offspring coefficient corresponding to the binaryzation of the image, and determining an edge activity degree of the image; III, partitioning the image into blocks, determining the edge clear activity degree of each image block, and extracting the smooth region of the image according to the edge clear activity degrees; IV, determining the standard deviation of the image blocks, carrying out the normalization of the image blocks, and determining the fuzziness degree of the image according to the standard deviation. Based on the technology of wavelet transformation image processing, the method enables the image to be equally partitioned and classified into smooth regions and non-smooth regions. While considering high-frequency signals in different directions, the method enables the image too be weighted through a method, and finally calculates the fuzziness degree of the whole image. The method is objective to certain degree, and can reflect the measurement of the fuzziness degree of the image more accurately through human eyes.
Description
technical field [0001] The present invention relates to a method in the field of human face images or vehicle-mounted images, and more particularly, relates to a method for measuring the degree of image blur. Background technique [0002] With the development of personal computer, digital communication, multimedia and network technology, digital image has increasingly become one of the most important carriers of information. However, in every step of digital image acquisition, processing, encoding, storage, transmission and reconstruction, it usually affects the quality of the image. How to evaluate image quality has become a basic and challenging problem in the fields of image processing and computer vision. sexual problems [0003] In the prior art, the measurement method of digital image quality basically only gives the deviation between the original image and the reconstructed image, but cannot reflect the essential attributes of the image, let alone describe the blurri...
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20064G06T2207/30168
Inventor 黄颖黄淮黄宵宁杨成顺
Owner NANJING INST OF TECH