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Method for estimating pixel-level image fusion quality

A technology for image fusion and quality assessment, applied in image analysis, image data processing, instruments, etc.

Inactive Publication Date: 2010-09-22
李珊珊 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical purpose of the present invention is to propose a new objective evaluation method of image fusion quality without reference image, which can overcome the deficiencies of existing evaluation methods

Method used

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  • Method for estimating pixel-level image fusion quality
  • Method for estimating pixel-level image fusion quality
  • Method for estimating pixel-level image fusion quality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Example 1: Evaluation of UNcamp image sequence fusion results

[0062] The present invention applies this new pixel-level image fusion evaluation standard to the UNcamp image sequence fusion results.

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Abstract

The invention discloses a new method for objectively estimating image fusion quality without reference image, which can overcome the disadvantages of a conventional estimation method. The method is characterized in that the method for objectively estimating image fusion quality is a method for estimating the fusion effect by using similarity of gray scale, namely measuring the fusion effect based on a color likelihood function of a Minkovski distance and weighting the color likelihood function value with partial obvious degree of each source image by taking account of both calculation complexity and partial information content. Compared with the conventional estimation method, the method is much closer to a visual physical model of a person, and a result which meets the subjective estimation standard well is obtained, the number of the input images is not limited to two and the number can be expanded to be any positive integer.

Description

technical field [0001] The invention relates to image processing quality evaluation, in particular to an image quality evaluation method after pixel-level fusion of multi-source images. It belongs to image processing technology. Background technique [0002] At this stage, the evaluation criteria for the quality of fused images mainly focus on the calculation of the preservation status of the useful information of the fused image to the input image. The useful information of the input image can include pixel-level feature values ​​such as brightness, contrast, structure, gradient, magnitude and argument after Fourier transform, and spatial resolution. A selection of useful information can generate a variety of different evaluation metrics. For the measurement of the preservation status of these useful information, generally speaking, in addition to the interactive information that can directly quantify the preservation situation, other evaluation methods will choose to cal...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 李珊珊董娜赵英海
Owner 李珊珊
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