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Underwater monitoring color image quality measurement method

A color image, quality measurement technology, used in image analysis, image data processing, instrumentation, etc.

Inactive Publication Date: 2014-09-17
HUAIHAI INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to propose a method for measuring the quality of underwater color images without reference to the quality measurement of underwater color images in seabed detection, underwater pipeline detection and other underwater engineering investigations.

Method used

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  • Underwater monitoring color image quality measurement method
  • Underwater monitoring color image quality measurement method

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Experimental program
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Effect test

Embodiment 1

[0065] Embodiment 1, a kind of method for measuring underwater color image quality, the method adopts the weighted combination of hue and saturation variance and brightness definition of CIELab space to measure the quality of underwater color image; Its steps are as follows:

[0066] Assume I p is the CIELab space underwater color image pixel, p =1... N , N is the number of pixels in the image; I p =[ l p a p b p ], l p , a p , b p Respectively, CIELab space brightness and color components;

[0067] The first step is to calculate the CIELab space tone according to the formula C p , CIELab space saturation S p ,

[0068] (1)

[0069] (2)

[0070] The second step is to calculate the hue variance of CIELab space var_C p and saturation variance var_S p ,

[0071] (3)

[0072] (4)

[0073] ...

Embodiment 2

[0084] Embodiment 2, described a kind of underwater monitoring color image quality measuring method, described threshold 1 , threshold 2 Less than 10% of the image and block size.

Embodiment 3

[0085] Embodiment 3, the described method for measuring the quality of a color image for underwater monitoring, is characterized in that the image is divided into N x N size of the image block when the N =32 or 56 or 72.

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Abstract

The invention discloses an underwater monitoring color image quality measurement method. The variance of hue and saturation of the CIELab space and the weighted array of brightness definition are utilized for measuring the quality of an underwater monitoring color image; the hue variance, the saturation variance and the brightness space definition of the CIELab space are calculated; then multiple linear regression MPL is applied to a plurality of underwater monitoring and investigation color images in a subjective evaluation test set to obtain three weighting coefficients, finally the quality evaluation UCIQE value of the underwater color image I is obtained, and the UCIQE value is directly proportional to the quality of the underwater color image. The method is reasonable, the quality difference of the content of a similar underwater color image can be described more accurately, and the method is more suitable for evaluating typical degradation of the underwater color image. The underwater monitoring color image quality measurement method is small in calculated amount and high in speed, and the real-time performance of the practical application of an algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing and analysis, in particular to the processing and analysis of color images taken in an environment with absorption and scattering optical attenuation. A quality measurement method involving reference-free color image quality measurement and underwater color images. Background technique [0002] With the continuous advancement of underwater sensor technology, how to improve the automatic processing capability of underwater video image information is the key to solving intelligent underwater monitoring and underwater operations. A reliable and reasonable method for objectively evaluating the quality of underwater color images For various underwater image and video processing applications, such as: underwater image classification, underwater color image analysis, underwater target recognition, underwater image restoration and It is very important to automatically predict the perceived unde...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 杨淼
Owner HUAIHAI INST OF TECH
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