Method for evaluating perception sharpness of fused image based on human visual characteristics

A technology for sharpness evaluation and image fusion, applied in image analysis, image data processing, instruments, etc., can solve problems such as inability to obtain evaluation results, lack of consideration of human visual characteristics, etc.

Active Publication Date: 2013-01-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The above models all use the brightness component of the image to evaluate the clarity of the color image. Although it can ea

Method used

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  • Method for evaluating perception sharpness of fused image based on human visual characteristics
  • Method for evaluating perception sharpness of fused image based on human visual characteristics
  • Method for evaluating perception sharpness of fused image based on human visual characteristics

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Experimental program
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Embodiment (1

[0038] In this embodiment, the human eye perception sharpness evaluation is performed on the color fusion image of the infrared source image and the visible light source image of the same scene, and the evaluation steps are as follows:

[0039] Step 1. Set the infrared source image and the visible light source image of the same scene as S IR (x,y) and S Vis (x,y). If the sizes of the two are inconsistent, the infrared source image and the visible light source image are scaled to make them the same size. The following steps are all for the scaled infrared source image S IR (x,y) and visible light source image S Vis (x, y) is carried out, (x, y) is the coordinate of the pixel position in the image;

[0040] Step 2, using the infrared (IR) source image and visible light source (Vis) image described in step 1 to determine the ROI of the human eye region of interest, the steps are as follows:

[0041] 201. The high-frequency band-pass image corresponds to the details and edges of...

Embodiment (2

[0091] In this embodiment, the human eye perception sharpness evaluation is performed on the grayscale fusion image of the IR source image and the Vis source image. When grayscale fusion is selected, the grayscale fusion image g(x, y) can be directly obtained, which can be used in the following steps to obtain the sharpness evaluation score of the grayscale fusion image.

Embodiment (3

[0093] In this embodiment, the human eye perception sharpness evaluation is performed on color fusion images or grayscale fusion images of images in other bands, and the evaluation steps are as follows:

[0094] The present invention is not only applicable to the sharpness evaluation of the color fusion image of the infrared source image (IR) and the visible light source image (Vis), but also applicable to the sharpness evaluation after image fusion between any two bands other than infrared and visible light. When it is used for the evaluation of perceptual sharpness of image fusion between any other two bands, the specific evaluation steps are similar to those in embodiment (1) or embodiment (2).

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Abstract

The invention relates to a method for evaluating the perception sharpness of a fused image based on human visual characteristics, and belongs to the technical field of image fusion in image processing. A human perception contrast module is constructed on the basis of two main human visual characteristics, namely a contrast sensitivity characteristic and a brightness mask characteristic, a novel image perception contrast algorithm is disclosed through an improved Peli contrast model, and the perception sharpness of the image is evaluated by calculating the human perception contrast of a detailed edge area in the image to obtain an image sharpness objective evaluation model consistent with human subjective evaluation. The method is mainly used for judging whether fused images in different bands can meet specific application requirements or not, namely judging whether the fused images are favorable for an observer to understand image scene contents or not.

Description

technical field [0001] The invention relates to a fusion image perception definition evaluation method based on the visual characteristics of human eyes, and belongs to the technical field of fusion in image processing. Background technique [0002] In recent years, with the development of multi-band image sensor technology, multi-band image fusion technology has been successfully applied in practical systems and equipment. One of the main purposes of image fusion is to enable observers to obtain a more accurate understanding of the scene. A clear fusion image is more conducive to the observer's understanding of the content of the image scene. How to evaluate the quality of the fusion image has become an important aspect of image fusion technology and system design. link. [0003] Image sharpness is a commonly used quality attribute when evaluating image quality, which includes two factors: resolution and sharpness. Resolution reflects image detail information, and sharpne...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 金伟其高绍姝王霞王岭雪路陆骆媛
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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