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Infrared image enhancing method

A technology of infrared images and histograms, applied in image enhancement, image data processing, instruments, etc., can solve problems such as complex calculations and large system resource consumption, and achieve the effect of simple calculations

Active Publication Date: 2014-01-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] In the existing infrared image enhancement methods, the calculation is usually complicated and requires a lot of system resources

Method used

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Embodiment Construction

[0029] The specific steps of the infrared image enhancement method of the embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0030] Usually the image data obtained from the infrared detector is an N-bit binary value. In order to be able to display the infrared image data, the image data needs to be converted from the N-bit binary value to the value range used for display (usually the range is 0 to 255). This conversion is usually achieved by gray-scale linear stretching. The gray linear stretching method provides a linear calculation formula to map the image data to the display value range. The specific transformation process can be as figure 1 Shown.

[0031] figure 1 The middle r axis represents the image data acquired by the detector before transformation, and the minimum value of the image data is r min , The maximum value is r max . The S axis represents the transformed display data, and the display range is...

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Abstract

The embodiment of the invention discloses and provides an infrared image enhancing method. According to the method, images are used for histogram statistics, in addition, the histogram is calculated for obtaining the gray level array of the pixel point number extreme value, the array is used for judging whether the histogram distribution belongs to a single-peak type or a double-peak form or not, the respective unfolding regions and compressions are obtained according to different types of the histogram distribution, the linear conversion is utilized for unfolding and compressing the gray scale level in the unfolding regions and the compression regions by using linear conversion, and finally, the goal of enhancing the images is reached. The algorithm is simple, the complicated algorithm is avoided, and meanwhile, the method overcomes the defects that in the gray level direct linear conversion process, the background and the noise are enhanced, the target gray scale level cannot be effectively enhanced, the image brightness is dark, and the like.

Description

Technical field [0001] The invention relates to the technical field of infrared image processing, in particular to an infrared image enhancement method. Background technique [0002] In the imaging process of the infrared imaging system, due to the imaging characteristics of the system itself, the resulting image has the characteristics of low signal-to-noise ratio, low contrast, and almost no texture information. Therefore, in order for the human eye to obtain the visual information in the infrared image, a series of processing is required on the infrared image, including image non-uniformity correction, blind element compensation, image enhancement and so on. [0003] Image enhancement is an important infrared image processing method. There are many methods of infrared image enhancement, starting from the scope of image processing, it can be divided into: [0004] (1) Spatial domain processing: Directly process the grayscale of infrared images. Common methods include: spatial dom...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 刘子骥马宣章翔易乐郑兴蒋亚东
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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