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A method of image enhancement

An image enhancement and image technology, applied in the field of image processing, can solve the problems of poor directionality, no phase space information, data sensitivity, etc., and achieve the effects of good multi-resolution, improved display effect, and improved contrast.

Active Publication Date: 2019-03-19
CHANGAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the discrete wavelet transform is powerful, it still has the following disadvantages: (1) sensitive to data, (2) poor directionality, (3) no phase space information
Despite this, there are still deficiencies in the lack of direction

Method used

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  • A method of image enhancement
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Embodiment Construction

[0052] The present invention is described in further detail below in conjunction with accompanying drawing:

[0053] Such as figure 1 As shown, the invention discloses an image enhancement method, comprising the steps of:

[0054] Step 1: Obtain the image I to be enhanced;

[0055] Step 2: Perform double-density dual-tree complex wavelet transform on image I to obtain 4 low-frequency images I a , I b , I c , I d and 32 high-frequency images I 1 , I 2 ,…I i , where i=1,2...32; the process of double-density double-tree complex wavelet transform in step 2 is specifically:

[0056] Step 1): Obtain two scaling functions {φ h (t), φ g (t)} and four wavelet functions {ψ h,i (t),ψ g,i (t)}, where i=1,2; t is the moment value in the time domain;

[0057] The two wavelet functions of the same group deviate from each other by 0.5 units, and the function is obtained:

[0058] ψ h,1 (t)=ψ h,2 (t-0.5),ψ g,1 (t)=ψ g,2 (t-0.5) (1)

[0059] An approximate Hilbert transform p...

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Abstract

The invention discloses an image enhancement method, which includes the following steps: Step 1: Obtain the image I to be enhanced; Step 2: Perform double-density double-tree complex wavelet transformation on the image I to obtain 4 low-frequency images I a ,I b ,I c ,I d and 32 high-frequency images I 1 ,I 2 ,...I i , where i=1,2…32; Step 3: Use the improved MSR algorithm to process 4 low-frequency images to obtain I’ a ,I’ b ,I’ c ,I’ d ; Step 4: Use Bayesian threshold denoising method to process 32 high-frequency images to obtain I’ 1 ,I’ 2 ,I’ 3 …I’ i , where i=1,2...32; Step 5: Perform inverse wavelet transform on the result image to obtain the enhanced image R. The present invention provides an image enhancement method that can enhance the contrast of useful information in an image and better retain the detailed features of the image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image enhancement method. Background technique [0002] The human visual system (human visual system, HVS) can still correctly reflect the color and details of the object itself through a series of adaptive adjustment mechanisms under complex lighting conditions. However, in the case of insufficient or uneven ambient light, image acquisition devices such as cameras are prone to lose image details and produce low-contrast images, which are difficult to meet the needs of human perception or subsequent image processing. Traditional image enhancement methods mainly include logarithmic transformation, histogram equalization, gamma transformation, etc. These methods not only improve the contrast of useful information, but also enhance the contrast of invalid information, and even lose some details. [0003] The main purpose of SSR (Retinex) image enhancement is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/90
Inventor 高涛赵祥模梁闪李思谭魏萌
Owner CHANGAN UNIV
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