Traffic image defogging comprehensive evaluation method
A comprehensive evaluation and image technology, applied in the field of image processing, can solve problems such as loss of visual information, unclear images, and inability to obtain images, and achieve the effect of objective evaluation and comprehensive consideration of factors
Inactive Publication Date: 2019-10-01
CHANGAN UNIV
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[0002] In recent years, the term "smog" has appeared very frequently in our country. Because people did not pay attention to environmental protection in the past, smog often appears in today's society, and smog often causes people to lose visual information. It is also often impossible to obtain a clear image, replaced by an unclear image full of haze. In response to the above problems, Chinese scholars have carried out various research investigations and proposed many methods for removing fog from foggy images in haze weather. Various defogging methods have been proposed by scholars for the clarity of foggy images in haze weather, but there are not many scholars who have studied how to evaluate the effect of the image after defogging
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[0035] Below in conjunction with accompanying drawing, the present invention is described in further detail:
[0036] see figure 1 , an evaluation method for image defogging effect in hazy weather, by calculating the contrast of the image to measure the ICI, the naturalness of the image to measure the CNI, and the color change of the image to measure the CRI, and finally propose a comprehensive evaluation index CRN for the image defogging effect Make an evaluation.
[0037] Specific steps are as follows:
[0038] Step 1. Obtain the traffic images before and after the haze weather goes down;
[0039] Step 2: Obtain the contrast measure index, natural degree measure index and image color change index of the traffic image obtained in step 1:
[0040] The contrast measure is defined as follows:
[0041]
[0042] In the formula, ICI is the contrast measure index, n r Indicates the number of visible edges of the image after dehazing, n 0 Indicates the number of visible edge...
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The invention discloses a traffic image defogging comprehensive evaluation method. The method comprises the steps of 1, obtaining traffic images before and after defogging is carried out in hazy weather; 2, solving a contrast measurement index ICI, a natural degree measurement index CNI and an image color change index CRI of the traffic image obtained in the step 1; and 3, solving a comprehensiveevaluation index CRN by using the contrast measurement index ICI, the natural degree measurement index CNI and the image color change index CRI obtained in the step 2. According to the method, a comprehensive evaluation index is provided by adopting contrast measurement, natural degree measurement and color change degree measurement, a good evaluation effect is achieved, and the effect evaluationof the defogged picture is more scientific and is consistent with the result observed by human eyes.
Description
technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a comprehensive evaluation method for traffic image defogging. Background technique [0002] In recent years, the term "smog" has appeared very frequently in our country. Because people did not pay attention to environmental protection in the past, smog often appears in today's society, and smog often causes people to lose visual information. It is also often impossible to obtain a clear image, replaced by an unclear image full of haze. In response to the above problems, Chinese scholars have carried out various research investigations and proposed many methods for removing fog from foggy images in haze weather. For the clarity of foggy images in haze weather, various defogging methods have been proposed by scholars, but there are not many scholars who have studied how to evaluate the effect of defogged images. Contents of the invention [0003] The invent...
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IPC IPC(8): G06T5/00
CPCG06T2207/30168G06T5/73
Inventor 黄鹤郭璐许哲王会峰茹锋汪贵平黄莺惠晓滨崔博
Owner CHANGAN UNIV