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Image adaptive enhancement method based on histogram compactness transformation

An adaptive enhancement and histogram technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of loss of details in bright and dark areas of images, and the inapplicability of U-shaped histograms, etc.

Inactive Publication Date: 2015-12-23
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

However, in the practical application of this method, there are problems such as serious loss of details in the bright and dark areas of the image, and the U-shaped histogram cannot be applied.

Method used

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  • Image adaptive enhancement method based on histogram compactness transformation
  • Image adaptive enhancement method based on histogram compactness transformation
  • Image adaptive enhancement method based on histogram compactness transformation

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Embodiment Construction

[0051] The implementation process of specific issues will be further described below in conjunction with the accompanying drawings.

[0052] The histogram compactness transformation of the present invention is a histogram transformation method for the purpose of compressing the gray scale distribution range of an image. The zero-probability gray level and small-probability gray level between the maximum value and the minimum value of the image are defined, so that the transformed image is continuous on all gray levels between the maximum value and the minimum value, and each gray level The number of pixels on the level is not less than the reference number, so that the distribution interval of the image gray level can be effectively compressed.

[0053] For the present invention, according to the gray distribution characteristics of the input image, automatic calculation of the parameters required for the compactness transformation process is a key step in the specific impleme...

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Abstract

The present invention provides an image adaptive enhancement method based on histogram compactness transformation. The method comprises a step 1 of gathering the gray scale frequency histograms of the input images, and calculating the characteristic values of the image histograms; a step 2 of calculating a search starting point and the left and right reference frequencies; a step 3 of carrying out the histogram compactness transformation; a step 4 of establishing a gray scale mapping relation; a step 5 of carrying out the input image gray scale reconstruction. The method of the present invention considers the own characteristics of the input images, so that the insufficiencies of the enhancement methods, such as a classic linear stretching transformation method, a histogram truncation stretching method, etc., are overcome effectively. Experiments show that the method is obvious in enhancement effect, has good adaptability and practicality, can be widely used for the enhancement of various low contrast images and the high bit wide quantization image-to-low bit wide quantization image conversion processing, and is a rapid and effective image automatic enhancement method.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, and relates to an image adaptive enhancement method. technical background [0002] The contrast and sharpness of the image are important quality indicators, and also an important factor affecting its usability and ease of use. However, a large number of images (especially remote sensing images) have problems such as low visual contrast and insufficient clarity. Therefore, it is necessary to enhance low-contrast images in many applications. [0003] The purpose of image enhancement is to improve the clarity, contrast and other visual effects of the image, thereby improving the readability and information interpretation ability of the image. At present, various methods such as linear stretching, histogram equalization, wavelet transform, and Retinex enhancement have been developed. Because the linear stretching and histogram equalization methods have the advantages of simple algorithm ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
Inventor 柳稼航陈铁桥王一豪朱锋
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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