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image enhancement method based on improved non-subsampled Contourlet transformation

A non-subsampling, image enhancement technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as inapplicable image processing, achieve the effects of enhancing contrast and clarity, enhancing texture information, and removing noise

Pending Publication Date: 2019-06-11
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

But the wavelet transform only has three directions: horizontal, vertical, and diagonal, which is not suitable for all image processing

Method used

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  • image enhancement method based on improved non-subsampled Contourlet transformation
  • image enhancement method based on improved non-subsampled Contourlet transformation
  • image enhancement method based on improved non-subsampled Contourlet transformation

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Embodiment Construction

[0046] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0047] The technical scheme that the present invention solves the problems of the technologies described above is:

[0048] A palm vein infrared image enhancement method based on NSCT transform. In this paper, the NSCT transformation is first applied to the image, and the approximate component is linearly stretched, and the detail component is enhanced. Finally, the Gabor filter is used to bridge the palm texture break, which includes the following steps:

[0049] S1, perform NSCT transformation on the original image to obtain low-pass subbands and high-pass subbands of various scales and directions.

[0050] S2, obtain the low-pass sub-band coefficients generated by the Contourlet transformation, and li...

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Abstract

The invention requests to protect an image enhancement method based on improved non-subsampled Contourlet transform (NSCT). The method comprises the following steps: firstly, carrying out NSCT on an image to obtain low-pass sub-bands and band-pass sub-bands in various scales and directions; carrying out linear enhancement processing on the low-pass sub-band, so that the overall contrast of the image is improved; for a band-pass sub-band, adaptively determining a denoising threshold value of each sub-band according to energy distribution, and a weak edge enhancement algorithm is provided, so that the effects of enhancing detail texture and suppressing noise are achieved. and acquiring a clear palm vein image through Contourlet inverse transformation. And finally, the fractured part of the palm vein is bridged through a Gabor filter bank. Experimental results show that the palm vein detail texture information is effectively enhanced through the algorithm, and the contrast ratio, the information entropy, the average gradient and the variance are improved to 47.9, 9.1, 5.1 and 2594 respectively.

Description

technical field [0001] The invention belongs to the field of image processing and pattern recognition, in particular to a palm vein infrared image enhancement method based on NSCT transformation. Background technique [0002] Biometric technology based on palm vein recognition has been widely used in daily life. Palm vein recognition is to irradiate the palm with near-infrared light and use a camera to obtain palm vein images. However, in the process of image acquisition, the image quality is reduced due to the influence of various factors, such as light, dust pollution on the palm, and so on. In order to obtain images that are beneficial to palm vein feature extraction, it is necessary to enhance the contrast and texture of the collected images. [0003] The existing image enhancement methods are divided into two categories: methods based on image gray value statistics and methods based on image spatial frequency. The methods based on spatial frequency mainly include Fou...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 代少升陈雅玫舒倩胡昂谭伟
Owner CHONGQING UNIV OF POSTS & TELECOMM
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