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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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[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
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[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:
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Abstract
The invention discloses an image enhancement method. The method comprises the following steps of firstly, obtaining a to-be-enhanced image I; secondly, subjecting the image I to double-density dual-tree complex wavelet transform to obtain 4 low-frequency images Ia, Ib, Ic and Id and 32 high-frequency images I1, I2, ...Ii, wherein i=1, 2, .. .., 32; thirdly, based on the improved MSR algorithm, processing the 4 low-frequency images to obtain I'a, I'b, I'c and I'd; fourthly, based on the Bayes threshold denoising method, processing the 32 high-frequency images to obtain I'1, I'2, I'3, .. ..I'i, wherein i=1, 2, .. .., 32; fifthly, subjecting the obtained images to inverse wavelet transform to obtain an enhanced image R. The image enhancement method in the invention can increase the contrast ratio of the useful information of an image. Meanwhile, the detail features of the image can be better retained.
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...
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