No-reference structural sharpness image quality evaluation method

A technology of image quality evaluation and reference structure, applied in image enhancement, image analysis, image data processing and other directions, it can solve the problems of not bounded output range and complex calculation, and achieve the effect of broad market prospects and application value.

Inactive Publication Date: 2011-03-30
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

However, the current various reference-free image quality evaluation methods are computationally complex, and the output range is not bounded, so we cannot get the sharpness information of the image from the evaluation value of a single frame image

Method used

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  • No-reference structural sharpness image quality evaluation method
  • No-reference structural sharpness image quality evaluation method

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0030] figure 1 Show the method flowchart of the present invention, No Reference Structure Definition (NRSS) of the present invention is a kind of no reference image quality evaluation method for image blur, the concrete steps of its method are as follows:

[0031] 1. Image preprocessing

[0032] First of all, if the method of the present invention is used in an embedded real-time system, in order to reduce the amount of calculation, the original image can be down-sampled by 1 / 2; calculate. The downsampled original image is denoted as f 0 (x, y), where x and y respectively represent the row and column coordinates of the corresponding pixel in the image. For the original image f 0 (x, y) is subjected to 3×3 median fil...

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Abstract

The invention discloses a no-reference structural sharpness image quality evaluation method, which comprises the following steps of: acquiring an original image input in a computer; preprocessing the original image, removing influence of isolated noise points on the sharpness of the original image and acquiring an original image to be evaluated; constructing a reference image for the original image to be evaluated through a low pass filter; respectively performing gradient calculation on the original image to be evaluated and the reference image, and extracting sub-image vectors with rich texture information; calculating the structural similarity between corresponding sub-image vectors so as to obtain structural similarity results of the sub-image vectors; and calculating no-reference structural sharpness by using the obtained structural similarity results of the sub-image vectors so as to obtain quality evaluation index no-reference structural sharpness of the original image. The reference image is constructed through an imaging model, no-reference image quality evaluation is performed by a reference image quality evaluation method aiming at image blurring, and the method is applied to the fields of imaging quality detection and control of an imaging system, evaluation of an image processing algorithm, and the like.

Description

technical field [0001] The invention belongs to the field of image processing, especially the field of image quality evaluation, and can be used for imaging quality detection and monitoring, imaging system parameter control, image processing algorithm evaluation, image processing algorithm parameter optimization, network image transmission quality evaluation and the like. Background technique [0002] With the development of information technology, image as the carrier of information is getting more and more attention. Image quality evaluation is an important research direction in the field of image processing. It can be used for imaging quality inspection of various imaging systems, and guides the control of imaging systems so that the system always works in the best state. It can also be used for evaluation of various image processing algorithms , parameter optimization, etc., so that the comprehensive output of the algorithm can be optimized, and it can also be used for i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 谢小甫王岱吴钦章
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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