QR Code image super-resolution reconstruction method based on sparse representation

A sparse representation and super-resolution technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as inability to improve reconstruction quality and difficulty in estimating degraded model parameters

Inactive Publication Date: 2016-11-23
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

The parameters of the degradation model of this method are difficult to estimate. In addition, the number of input images required increases with the increase of the resolution magnification factor. When the resolution magnification factor is too large, the increase in the number of input images cannot improve the reconstruction quality.

Method used

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  • QR Code image super-resolution reconstruction method based on sparse representation
  • QR Code image super-resolution reconstruction method based on sparse representation
  • QR Code image super-resolution reconstruction method based on sparse representation

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Experimental program
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Effect test

Embodiment

[0099] Effect of the present invention can be specified by following experiment:

[0100] 1. Experimental conditions: The computer configuration used in the experiment is Intel Core i7 / 3.60GHz / 8G, and the programming platform is MATLAB R2012b. The QR Code two-dimensional code test image used in the experiment is as follows: image 3 shown.

[0101] 2. Experimental content

[0102] This experiment is divided into four experiments:

[0103] One, utilize the present invention to carry out super-resolution reconstruction to low-resolution QR Code two-dimensional code image, the result is as follows Figure 4 shown;

[0104] 2. Using the bicubic difference Bicubic method for super-resolution reconstruction, the results are as follows Figure 5 shown;

[0105] 3. Using the method proposed by Yang et al. in the literature "Yang, Jianchao, et al."Image super-resolution viasparse representation."Image Processing, IEEE Transactions on 19.11(2010):2861-2873." The two-dimensional c...

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Abstract

The invention discloses a QR Code image super-resolution reconstruction method based on sparse representation, which solves the problem of super-resolution reconstruction of low-resolution QR Code two-dimensional code images. Using the edge gradient feature and texture feature of the QR Code two-dimensional code, the operator extracts the image feature to obtain the feature block; through the dictionary learning algorithm, obtain the learning dictionary of the low-resolution image block and the corresponding high-resolution image block; use sparse representation Theoretically, sparsely encode the input low-resolution image feature blocks, and combine the learning dictionary to obtain the high-resolution image blocks corresponding to the input low-resolution image blocks; apply global constraints to synthesize all high-resolution image blocks into the final high-resolution QR Code two-dimensional code image to achieve super-resolution reconstruction. The invention utilizes image characteristics to effectively reconstruct a high-resolution QR Code two-dimensional code image with clear edges and retains a large number of high-frequency details, and is suitable for super-resolution reconstruction of the QR Code two-dimensional code image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a QR Code image super-resolution reconstruction method based on sparse representation. Background technique [0002] QR Code two-dimensional code is widely used because of its information content and high density, and the performance of two-dimensional barcode recognition requires high-resolution QR Code two-dimensional code image to ensure. Most of the existing solutions are processed by increasing the resolution of the camera. However, this method has many limitations. For example, in the bank bill processing system, in order to simultaneously recognize the two-dimensional barcode, seal, amount and other elements on the bill, a 3800× 2400 or higher resolution, which is beyond the reach of most cameras. In addition, in some applications that require users to collect QR Code images and upload them to the server for recognition, due to the lack of suf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053G06T2207/20081
Inventor 刘宁钟沈怡灵
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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