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Compressed-sensing-based two-dimensional code image illumination equalization method

A technology of compressed sensing and equalization method, which is applied in the field of recognition of two-dimensional code images, can solve the problems of slow processing speed, complex algorithm, and inability to completely eliminate uneven illumination, and achieve the effect of increasing speed, good effect, and good application effect

Active Publication Date: 2015-03-11
SUN YAT SEN UNIV +1
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Problems solved by technology

This paper uses the wavelet decomposition method to process the high frequency and low frequency separately to improve the effect of the image; for some images with obvious uneven illumination, this technology cannot completely eliminate the influence of uneven illumination, and the final algorithm is too complicated, which leads to slower processing

Method used

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  • Compressed-sensing-based two-dimensional code image illumination equalization method
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  • Compressed-sensing-based two-dimensional code image illumination equalization method

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Embodiment 1

[0052] With two unevenly illuminated barcode image sizes of 256*256, refer to figure 1 , the binary recognition processing steps of the two-dimensional barcode image are as follows:

[0053] Step 1: Input a two-dimensional barcode, for example, input two two-dimensional code images, perform grayscale transformation on them and store the data in I1 and I2.

[0054] Step 2: Perform Fourier transform 256*256 on I1 and I2 respectively to obtain their spectrum images X1 and X2.

[0055] Step 3: Set up a sampling matrix, and perform spectral sampling on X1 and X2 in the Fourier domain to Y1 and Y2 respectively.

[0056] Step 4: Perform linear fusion of Y1 and Y2 to obtain a new Fourier spectrum Y;

[0057] Step 5: Use FISTA to perform fast soft-threshold iteration on the spectrum Y to obtain Y', and perform inverse Fourier transform on Y' to obtain the restored image f, and binarize the image to identify the two-dimensional code image.

[0058] After using the present invention t...

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Abstract

The invention discloses a compressed-sensing-based restoration method of a two-dimensional code image with non-uniform illumination. The method comprises the following steps that: a same two-dimensional code image is collected to obtain two two-dimensional code images and sparsity analysis is carried out on the two-dimensional code images; Fourier transform is carried out on the two two-dimensional code images to obtain spectrum images X1 and X2, a non-correlation sampling matrix is set according to the Fourier features of the two-dimensional code images, wherein the non-correlation sampling matrix is formed by a cross and a concentric circle and the sampling cross width and concentric circle dimension can be adjusted properly, and spectrum sampling is carried out on the spectrum images X1 and X2 at the Fourier zone so as to obtain a Y1 and a Y2; linear fusion is carried out on the Y1 and Y2 to obtain a new Fourier spectrum Y; and quick soft threshold iteration is carried out on the Fourier spectrum Y by using a fast iterative shrinkage-thresholding algorithm (FISTA) to obtain a Y', Fourier transform is carried out on the Y' to obtain a restored image f, and binarization processing is carried out on the image f and a two-dimensional code image is identified. With the method, equalized illumination can be realized; a processing speed of an image with non-uniform illumination can be accelerated; and an original two-dimensional code image can be restored accurately.

Description

technical field [0001] The present invention relates to the field of recognition of two-dimensional code images, and more particularly, relates to an illumination equalization method for two-dimensional code images based on compressed sensing. Background technique [0002] The preprocessing of the two-dimensional barcode is a very important link in the two-dimensional code recognition process, and the preprocessing result of the two-dimensional code image directly affects the recognition result. Because the application environment of the two-dimensional code is complex and changeable, and the image quality of the two-dimensional code obtained from the imaging device is different, it often encounters the situation of uneven illumination. Traditional image fusion methods include image fusion based on wavelet transform and compressed sensing image fusion based on Fast Iterative Shrinkage-thresholding Algorithm (FISTA). Based on wavelet transform image fusion algorithm, the res...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 陈荣军谭洪舟莫嘉永朱雄泳李智文黄登
Owner SUN YAT SEN UNIV
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