WO2012149778A1

WO2012149778A1 - Multilayer quick response code image encoding/decoding method and encoding/decoding device

Info

Publication number: WO2012149778A1
Application number: PCT/CN2011/080306
Authority: WO
Inventors: 袁健
Original assignee: 华为技术有限公司
Priority date: 2011-09-28
Filing date: 2011-09-28
Publication date: 2012-11-08
Also published as: CN102741864B; CN102741864A

Abstract

Provided are a multilayer quick response code encoding/decoding method and encoding/decoding device to improve the information capacity contained in the QR code. The method includes: obtaining an image layer number N of a multilayer quick response (QR) code, with the multilayer quick response (QR) code being a multilayer quick response (QR) code obtained by encoding an original quick response (QR) code; acquiring N groups of colour coefficient characteristic values from a bidirectional invertible colour characteristic library, wherein the colour coefficient characteristic values are used for changing the colour parameter of the original quick response (QR) code image layer; and overlaying the original quick response (QR) code image layer according to an agreed colour order using the acquired N groups of colour coefficient characteristic values so as to obtain the multilayer quick response (QR) code image. On one hand, the multilayer QR code image can meet the transmission of a large amount of information, thus improving the transmission efficiency; on the other hand, multiple encryption of the file can be carried out, increasing the security of file transmission.

Description

Multi-layer fast response code image coding, decoding method and coding and decoding device

The present invention relates to the field of image processing, and in particular, to a multi-layer fast response code encoding and decoding method and a coding and decoding apparatus.

Background technique

The Quick Response (QR) code is a 2D barcode that was developed in 1994 by Denso-Wave, Japan. The current QR code is square, only black and white. In the three corners of the QR code, three small square patterns resembling the Chinese character "back" are printed. The squares of the three "back" glyphs help to identify the angle at which the QR code is tilted when the QR code is resolved. Therefore, the user of the QR code does not need to be aligned when scanning the QR code, that is, the data can be read correctly regardless of scanning at any angle.

It is precisely because the QR code can store more data than the ordinary barcode, and the recognition is faster than the ordinary barcode. The QR code is called the "quick response" code.

Prior Art QR codes are obtained by some algorithm according to their own existing coding rules. Thus, an image encoded using a QR code always has a limited amount of information. For example, according to the encoding algorithm provided by the prior art, a QR code image, if the number is a number, contains up to 7059 characters; if it is a letter, it can contain up to 4296 characters; if it is a binary number, it can contain up to 2953 bytes. Although the amount of information contained in the QR code will increase as the QR code version increases, the QR code version cannot be increased indefinitely. In other words, when the QR code is increased to the highest version, the information capacity contained in the QR code is also increased to the maximum and will not continue to increase.

Summary of the invention

Embodiments of the present invention provide a multi-layer fast response code encoding and decoding method, and an encoding and decoding apparatus to improve information capacity included in a QR code.

An embodiment of the present invention provides a multi-layer fast response code encoding method, where the method includes: acquiring an image layer of a multi-layer fast response QR code, the multi-layer fast response QR code is original Multi-layer fast response QR code obtained by fast response QR code encoding;

Obtaining N sets of color coefficient feature values from the bidirectional reversible color feature library, wherein the color coefficient feature values are used to change color parameters of the original fast response QR code image layer;

The original fast response QR code image layers are superimposed in a predetermined color order using the acquired N sets of color coefficient feature values to obtain the multi-layer fast response QR code image.

An embodiment of the present invention provides a multi-layer fast response code decoding method, where the method includes: parsing a multi-layer fast response QR code image to obtain pixel RGB components of each layer of the multi-layer fast response QR code image, The number of image layers of the multi-layer fast response QR code is N, and the multi-layer fast response QR code image is obtained by acquiring N sets of color feature values from the bidirectional reversible color coefficient feature library and then performing the image layer of the original fast response QR code in color order. Superimposing a multi-layer fast response QR code image; drawing a single-layer fast response QR code image from pixel RGB components of each layer of the multi-layer QR code image;

Processing the single layer quick response QR code image to parse the information content included in the single layer fast response QR code image;

The information content parsed from each of the single layer quick response QR code images is connected in the color sequence.

An embodiment of the present invention provides a multi-layer fast response code encoding apparatus, where the apparatus includes: an image layer number obtaining module, configured to acquire a number of image layers N of a multi-layer fast response QR code, and the multi-layer fast response QR code is a multi-layer fast response QR code obtained by encoding the original fast response QR code;

a color feature value obtaining module, configured to acquire N sets of color feature values from the bidirectional reversible color coefficient feature library, wherein the color coefficient feature values are used to change color parameters of the original fast response QR code image layer; The acquired N sets of color coefficient feature values superimpose the image layers of the original quick response QR code in color order to obtain the multi-layer fast response QR code image. An embodiment of the present invention provides a multi-layer fast response code decoding apparatus, where the apparatus includes: a pixel component parsing module, configured to parse a multi-layer fast response QR code image to obtain each layer of the multi-layer fast response QR code image. The pixel RGB component, the multi-layer fast response QR code image is a multi-layer fast response QR obtained by superimposing the image layers of the original fast response QR code in color order after acquiring N sets of color coefficient feature values from the bidirectional reversible color feature library. Code image

An image drawing module, configured to draw a single layer quick response QR code image by pixel RGB components of each layer image of the multi-layer fast response QR code image;

An image processing module, configured to process the single layer quick response QR code image to parse the information content included in the single layer fast response QR code image;

And a connection module, configured to connect the information content parsed from each single layer quick response QR code image according to the color sequence.

It can be seen from the above embodiment of the present invention that the color coefficient feature value equal to the number of image layers N of the multi-layer fast response QR code can be obtained from the bidirectional reversible color feature library, and the original QR code image layer is used in color order. Superimposing, the multi-layer QR code image is obtained, by which the information capacity contained in the original QR code image is expanded. Therefore, on the one hand, multi-layer QR code images can satisfy the transmission of large amounts of information, thereby improving transmission efficiency. On the other hand, multiple encryption of files can be performed, which increases the security of file transmission.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the prior art or the embodiments will be briefly described below. Obviously, the drawings in the following description are only the present invention. For some embodiments, other drawings may be obtained as those of ordinary skill in the art without any inventive labor.

1 is a schematic flowchart of a multi-layer fast response code encoding method according to an embodiment of the present invention; FIG. 2 is a schematic flowchart of a multi-layer fast response code decoding method according to an embodiment of the present invention; Schematic diagram of a layer fast response code encoding device; 4 is a schematic structural diagram of a multi-layer fast response code encoding apparatus according to another embodiment of the present invention; FIG. 5 is a schematic structural diagram of a multi-layer fast response code encoding apparatus according to another embodiment of the present invention; FIG. 7 is a schematic structural diagram of a multi-layer fast response code decoding apparatus according to another embodiment of the present invention; FIG. 8 is a multi-layer fast response code decoding apparatus according to another embodiment of the present invention; Schematic. detailed description

Embodiments of the present invention provide a multi-layer fast response code encoding, decoding method, and encoding and decoding apparatus to improve information capacity included in a QR code.

BRIEF DESCRIPTION OF THE DRAWINGS The technical solutions in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without the creative work are all within the scope of the present invention.

1 is a schematic flowchart of a multi-layer fast response code encoding method according to an embodiment of the present invention, which mainly includes the following steps:

S101. Acquire an image layer 3⁄4N of a multi-layer fast response QR code.

In the embodiment of the present invention, the multi-layer QR code is a multi-layer QR code obtained by encoding the original fast response QR code, and the image layer number N is related to the user requirement, for example, the security of the encrypted file, The information capacity of the multi-layer QR code or the size of the information amount transmission is related. In general, the stricter the user's needs, for example, the higher the security of the file or the larger the information capacity of the multi-layer QR code, the larger the number of image layers N of the multi-layer QR code should be.

S102. Acquire N sets of color coefficient feature values from the bidirectional reversible color feature library, where the color coefficient feature values are used to change color parameters of the original QR code image layer.

The levy inventory stores color coefficient feature values for changing the color parameters of the image layer of the original QR code. The color parameter of the original QR code image layer can be the original QR code image. The RGB components of the image pixels in the layer, that is, red (Red, R), green (Green, G), and blue (Blue, B) in the three primary colors (R, G, B) of the image.

It is called "bidirectional reversible color feature library" because the bidirectional reversible color feature library provided by the embodiment of the present invention can be used to calculate the pixel RGB component of the multi-layer QR code image when encoding the original QR code, and can be used in The number of image layers included in the multi-layer QR code image is calculated when decoding the multi-layer QR code. The image layers are superimposed in color order to obtain the multi-layer QR code image.

A multi-layer QR code image obtained by superimposing the image layers of the original QR code in color order using the obtained N sets of color coefficient feature values, the number of image layers being N. If an original QR code image contains information capacity represented by num _QR , the multi-layer QR code image obtained by superimposing the image layers of the original QR code in color order using the obtained N sets of color coefficient feature values, the information contained therein The capacity is approximately N x num _QR . It can be seen that the information capacity of the multi-layer QR code image obtained after encoding is N times the information capacity of the original QR code image, and the expansion of the information capacity means that the file can be multi-encrypted. , increase the security of file transfer.

In the embodiment of the present invention, the "color order" may be agreed with the decoding end before encoding at the encoding end. For example, the color order agreed upon before encoding is that the first layer is red, the second layer is yellow, and the third layer is It is purple. In this way, the decoding end connects the decoded information contents in this color order during decoding, and restores the original information contained in the multi-layer QR code.

According to the multi-layer fast response code encoding method provided by the embodiment of the present invention, since the color coefficient characteristic value equal to the image layer number N of the multi-layer fast response QR code can be obtained from the bidirectional reversible color feature library, The original QR code image layers are superimposed in color order to obtain the multi-layer QR code image, by which the information capacity of the original QR code image is expanded. Therefore, on the one hand, the multi-layer QR code image can satisfy the transmission of a large amount of information, thereby improving the transmission efficiency. On the other hand, the file can be multi-encrypted, which increases the security of file transmission. Before designing a multi-layer QR code, the user can know the total information capacity that the multi-layer QR code should contain, and the maximum information capacity of each layer of the multi-layer fast response QR code also has an approximation. Therefore, in one embodiment of the present invention, for the number of image layers N of the multi-layer fast response QR code, the total information capacity of the multi-layer QR code and the maximum information capacity of each layer of the multi-layer QR code may be Divide to obtain, that is, if the two can be divisible, the quotient obtained by dividing the two directly is regarded as the image layer number N of the multi-layer QR code; if the two cannot be divisible, the quotient of dividing the two is obtained The value obtained by rounding up is used as the image layer of the multi-layer fast response QR code, for example, the total information capacity of the multi-layer QR code is divided by the maximum information capacity of each layer image in the multi-layer QR code. 3.2, then the 4 obtained by rounding up 3.2 is used as the image layer number of the multi-layer fast response QR code.

In the embodiment of the present invention, each set of color coefficient feature values obtained from the bidirectional reversible color feature library includes a color coefficient feature component a _k , a color coefficient feature component b _{k ,} and a color coefficient feature component c _k , that is, each set of colors The eigenvalues are represented by a _k , b _k , ). The color coefficient feature component a _k , the color coefficient feature component b _{k ,} and the color coefficient feature component c _k included in each set of color coefficient feature values may be used as feature coefficients, and each layer image in the image layer of the original QR code is The pixel RGB components are correspondingly superimposed to obtain a pixel RGB component of the multi-layer QR code, that is, a pixel value, wherein, for a white pixel block in the original QR code image, white or a predetermined color is used for calibration; and then, according to the multi-layer QR The pixel RGB component of the code plots the multi-layer QR code image. When the multi-layer QR code image is drawn, the image layer (consisting of the pixels of the calculated multi-layer QR code) is superimposed in color order (the color order can be agreed in advance). For example, the calculated multi-layer QR code, one of which is yellow (the RGB component of the pixel is denoted as (Rl, Gl, B1)), and the other image layer is orange (the RGB component of the pixel is denoted as (R2, G2, B2)), There is also an image layer that is purple (the RGB components of its pixels are recorded as (R3, G3, B3)). If the agreed color order is yellow, orange, and purple, first draw the first image layer of the multi-layer QR code with the pixel (R1, Gl, B1), and superimpose it on the first image layer composed of yellow. The orange color of the pixel (R2, G2, B2) constitutes the second image layer of the multi-layer QR code, in yellow On the two-layer image composed of color and orange, the superimposed pixels are purple of (R3, G3, B3), thereby forming a three-layer QR code image. A method in which layers are superimposed in color order to obtain a multi-layer QR code image. The multi-layer QR code image obtained by this method can increase N-fold according to the acquired N-group color feature values during information transmission, and the image size of the multi-layer QR code does not increase much. In the case of (compared to the original QR code image), files of different formats can be stored in the multi-layer QR code image by reading their binary code in the computer.

It should be noted that, in the embodiment of the present invention, since each set of color coefficient feature values (^, b _k , ) obtained from the bidirectional reversible color feature library is unique, the color coefficient characteristics of each group are described. The values a _k , b _k , c _k ) as the feature coefficients, the pixel RGB components of the multi-layer QR code obtained by superimposing the pixel RGB components of each layer image in the image layer of the original QR code are also unique, thus, according to the multi-layer The multi-layer QR code image drawn by the pixel RGB component of the QR code is also unique.

As an embodiment of the present invention, the color coefficient feature component 3⁄4, the color coefficient feature component, and the color coefficient feature component included in each set of color coefficient feature values are used as feature coefficients, and pixels of each layer image in the image layer of the original QR code are used. The RGB components corresponding to the superposition to obtain the pixel RGB components of the multi-layer QR code can be realized by the following steps:

Step S1, the color coefficient feature component a _k , the color coefficient feature component b _{k ,} and the color coefficient feature component c _k included in each set of color coefficient feature values and the pixel of each layer image in the image layer of the original QR code The R component and the G component of the RGB component are respectively multiplied by the B component;

That is, multiplied by , multiplied by ^, 3⁄4 and multiplied, and the obtained product is denoted as b _k y _k and . Here, the R component, the G component ^ and the B component of the pixel RGB component of each layer image in the image layer of the original QR code are respectively red (Red, R) in the three primary colors (R, G, B) of the general image. , Green (G) and Blue (Blue, B) have the same meaning. For the white area in the original QR code, The RGB component may be the RGB component of the pixel constituting the white color, or the RGB component of the pixel of the other color of the convention, which may not be limited in the embodiment of the present invention.

It should be noted that if the number of layers of the image layer of the original QR code is smaller than the number of sets of the color coefficient feature values obtained from the bidirectional reversible color feature library, the R component of the pixel layer RGB component of the image layer of the original QR code is reduced. , G component) ^ and B components are regarded as 0. For example, the three sets of color coefficient eigenvalues are obtained from the bidirectional reversible color feature library as (A, b _x , ), ( a ₂ , b ₂ , c ₂ ) and ( α ₃ , b ₃ , c ₃ ), if the original QR The image layer of the code is two layers, and the R component, the G component Λ and the B component of the pixel RGB component are respectively recorded as j _x , and ( , y ₂ , z ₂ ), and the R of the image layer of the original QR code is less. The component, the G component Λ, and the B component _3⁄4 , that is, ₃ , y ₃ , ), can be regarded as (0, 0, 0).

Step S2, the color coefficient feature component, the color coefficient feature component _bk, and the color coefficient feature component _ck included in each set of color coefficient feature values and the pixel RGB component of each layer image in the image layer of the original QR code The product of the R component, the G component Λ, and the B component respectively multiplied, b _k y _k

N N N N N

And ^ separately sum, get ∑ _3⁄4 , ∑ Λ and with the ∑ "Λ, ∑ ^ Λ and

N k=i k=l k=l k=l k=l

The R component, the G component, and the B component of the pixel RGB component of the multi-layer QR code, respectively. k=l

Obtaining three sets of color coefficient eigenvalues (denoted as (A, b _x , c _x ), ( a ₂ , b ₂ , c ₂ ) and ( α ₃ , b ₃ , c ₃ )) from the bidirectional reversible color feature library For example, the image layer of the original QR code (assumed also three layers), the R component, the G component Λ and the B component 3⁄4 of the pixel RGB component are denoted as ( j _x , ), ( , y ₂ , ) and ( , y , respectively. ₃ , ), the R component of the pixel RGB component of the obtained multi-layer QR code is α _χ jj-i- z ₁ , the G component is <3⁄4 + b ₂ y ₂ + c ₂ , and the B component is < _3⁄4 + b ₃ y ₃ + c ₃ ; In particular, if the image layer of the original QR code has only two layers, the R component, the G component Λ and the B component of the pixel RGB component are respectively recorded as (·3⁄4, j _x , ) and ( , y ₂ , z ₂ ), according to the foregoing, when ( _3⁄4 , y ₃ , ) is regarded as 0, the R component of the pixel RGB component of the obtained multi-layer QR code is + y _{1 + Cl} ζ , and the G component is a ₂ x ₂ + b ₂ y ₂ + c ₂ z ₂ , the B component is 0 ( = a ₃ x ₃ + b ₃ y ₃ + c ₃ z ₃ = ₃ x 0 + b ₃ x 0 + c ₃ x 0).

A more specific embodiment is given below to illustrate the multi-layer fast response code encoding method of the present invention. For convenience of explanation, in the following embodiments, it is assumed that the color coefficient feature values are all ones. It should be noted that although the color coefficient feature values are all described herein, those skilled in the art can understand that the method provided in this embodiment is still applicable to the case where the color coefficient feature values are not all ones.

The original QR code image consists of two colors, black and white. These two colors represent pixels containing information and no information. The information is encoded as 1 and 0 respectively. The original QR code image pixels are drawn in two colors on the image; further, the colors on the single layer QR code image are replaced with two other colors. Since each layer of QR image contains 0, that is, a pixel that does not contain information, this color can be defined as M, and the pixel value is taken as M (50, 50, 50).

In a single-layer QR code image containing pixels of information, the color definition varies from layer to layer, but in a predetermined order. Taking three layers as an example, each layer is a single layer QR code image. For example, in the first layer QR code image, the color containing the information is defined as A (180, 0, 0); in the second layer QR code image, the color containing the information is defined as B (0, 180, 0); In the layer QR code image, the color containing the information is defined as C (0, 0, 150).

The following is an example of two-layer and three-layer images, respectively (the single-layer image includes only A and M or B and M, and the image is binarized, which is the original QR code image).

For the case of a two-layer image, assume that the color containing the information is A (180, 0, 0) and B (0, 180, 0) as defined above. The two-layer image is superimposed, and the primitive pixels have three colors, namely A (180, 0, 0), B (0, 180, 0), and M (30, 30, 30). Two layers of images are superimposed, and there are four ways to mix:

1. A+B, that is, the pixel points contain information in both layers of images, and after the image is superimposed, the pixel value of the pixel is (180, 180, 0);

2. A+M, that is, the pixel contains information in the first layer image, and the second layer image does not contain information, and the pixel value of the pixel after the superposition is (210, 30, 30); 3. M+B, that is, the pixel does not contain information in the first layer image, and the second layer image contains information. After the image is superimposed, the pixel value of the pixel is (30, 210, 30);

4. M+M, that is, the pixel contains information in both layers of images. After the image is superimposed, the pixel value of the pixel is (60, 60, 60).

For the case of a three-layer image, assume that the color containing the information is A ( 180, 0, 0) as defined above,

B (0, 180, 0) and C (0, 0, 180). The three-layer image is superimposed, and the primitive pixels have four colors, namely A (180, 0, 0), B (0, 180, 0), C (0, 0, 180), and M (30, 30, 30). Three layers of image overlay, the following eight ways to mix:

1. A+B+C, that is, the pixel points contain information in the three-layer image. After the image is superimposed, the pixel value of the pixel is (180, 180, 180);

2. A+B+M, that is, the pixel contains information in the first and second layer images, and the third layer image does not contain information. After the image is superimposed, the pixel value of the pixel is pixel value (210, 210, 30);

3. A+M+C, that is, the pixel points contain information in the first and third layer images, and the second layer image does not contain information. After the image is superimposed, the pixel value of the pixel is the pixel value (210, 30, 210);

4. A+M+M, that is, the pixel contains information in the first layer image, and the second and third layer images do not contain information. After the image is superimposed, the pixel value of the pixel is (240, 60, 60);

5, M+B+C, that is, the pixel does not contain information in the first layer image, and the second and third layer images all contain information. After the image is superimposed, the pixel value of the pixel is (30). 210, 210);

6. M+M+C, that is, the pixel does not contain information in the first and second layer images, and the third layer image contains information. After the image is superimposed, the pixel value of the pixel is the pixel value (60, 60). , 210);

7. M+M+M, that is, the pixel does not contain information in the first, second, and third layers of images, and after the image is superimposed, the pixel value of the pixel is (90, 90, 90);

8. M+B+M, that is, the pixel does not contain information in the first and third layers of images, and the second layer contains information. After the image is superimposed, the pixel value of the pixel is (60, 240, 60). . 2 is a schematic flowchart of a method for decoding a multi-layer fast response code according to an embodiment of the present invention, which mainly includes the following steps:

S201. Analyze a multi-layer fast response QR code image to obtain a pixel RGB component of each layer image of the multi-layer QR code image, where the number of image layers of the multi-layer fast response QR code is N, the multi-layer QR code image A QR code image obtained by superimposing the image layers of the original QR code in color order from the two-way reversible color feature library to obtain a color feature value equal to the number of image layers of the multi-layer QR code image.

As an embodiment of the present invention, pixel extraction may be performed on each pixel of the multi-layer QR code image. By parsing the pixel, the pixel RGB component of the obtained pixel is used as the image of each layer of the multi-layer QR code image. The pixel RGB component of the pixel. Since each layer of the multi-layer QR code image has a detection pattern, for example, a "back" font, the area of the detection pattern is covered by each layer image, and the pixel containing the information also contains the information of each layer image. The color overlay. Therefore, in the embodiment, the detection pattern may be a sampling point of each layer image in the multi-layer QR code image,

N

The sampling point is sampled; further, the R component of the RGB component of the pixel according to the multi-layer QR code is

N N k=\

The G component is ^b _k y _k , and the B component is the rule of ∑c _A , which decomposes the image contained in the multi-layer QR code image k=lk=l

The number of layers in the layer.

For example, if the pixel value of the pixel in the "back" glyph is parsed as (180, 180, 0), the colors containing information according to the foregoing embodiment are A (180, 0, 0) and B (0, 180). , the assumption of 0), it can be inferred that the image is obtained by the first mixing method of the two layers of image superposition, that is, by the first layer image (the color containing the information is defined as A (180, 0, 0)) Superimposed with the second layer image (which contains the color of the information defined as B (0, 180, 0)), the number of layers of the multi-layer QR code image is 2 layers.

If the pixel value of the pixel in the "back" glyph is parsed as (180, 180, 180), the color containing information according to the foregoing embodiment is A (180, 0, 0), B (0, 180, 0). And ((0, 0, 180) hypothesis, it can be inferred that the image is the first hybrid of the three-layer image overlay Yes, that is, by the first layer image (which contains the color of the information defined as A ( 180, 0, 0)), the second layer image (which contains the color of the information defined as B (0, 180, 0)) and The three-layer image (which contains the color of the information defined as C (0, 0, 180)) is superimposed, so the number of layers of the multi-layer QR code image is three.

N N N

Here, 2 _Λ , 2 _έΛ and 中 , , c _k , x _k , y _k , , and N have k= k=ik=l

The meanings are the same as those of the embodiment provided in FIG. 1 above, and will not be described again.

5202, drawing a single layer fast response QR code image by the pixel RGB component of each layer image of the multi-layer fast response QR code image.

That is, the pixel RGB components of each layer of the image parsed from the multi-layer QR code image are stored in a memory array for drawing a single layer QR code image. For a block of a single-layer QR code image that does not contain a codeword (i.e., does not contain information content), a convention color may be used instead, and the agreed color is included in each of the drawn single-layer QR code images.

5203. Process the single layer fast response QR code image to parse the information content included in the single layer fast response QR code image.

This process includes the steps:

S2031: performing binarization, denoising, and morphological algorithm processing on the single layer fast response QR code image to obtain a binarized image;

It should be noted that the white pixel block of the binarized image (the pixel block not containing the information content or the codeword not included) is calibrated in white or a predetermined color.

52032, performing QR code identification on the binarized image, including searching for a detection pattern, a version information, a positioning pattern, a correction pattern, and a mask removal information;

52033, parsing the binarized image after performing the QR code identification to obtain information content included in the single layer QR code image.

If the content includes only text information, write it to the text tool; if the information contains the format and file name of the original file, write it to the hard disk in the original file format. S204. Connect the information content parsed from each single layer quick response QR code image according to the color sequence.

As illustrated in the example of FIG. 1, since the image layer (composed of the calculated multi-layer QR code) is superimposed in the agreed color order when drawing the multi-layer QR code image, for example, the calculated multi-layer QR code One of the image layers is yellow (the RGB component of the pixel is denoted as (Rl, Gl, B1)), and the other image layer is orange (the RGB component of the pixel is denoted as (R2, G2, B2)), and one The image layer is purple (the RGB components of the pixel are recorded as (R3, G3, B3)). If the agreed color order is yellow, orange, and purple, the yellow color of the (Rl, Gl, B1) pixel is first formed to form a multi-layer. The first image layer of the QR code, on the first image layer composed of yellow, the orange image of the (R2, G2, B2) superimposed pixel forms the second image layer of the multi-layer QR code, which is composed of yellow and orange. On the two-layer QR code image, the purple color of the superimposed pixels (R3, G3, B3) constitutes a three-layer QR code image. Taking this as an example, it is assumed that the multi-layer QR code obtained after encoding contains the information content from 1 to 3000, and further assumes that the first image layer composed of yellow contains the content from 1 to 1000, orange The second image layer is composed of numbers from 1001 to 2000, and the third image layer composed of purple contains numbers from 2001 to 3000, in order to ensure the information content parsed from the multilayer QR code. When the order of the original information content is the same, the information content of each image layer is connected in the order of the first image layer, the second image layer, and the third image layer, and restored to the original information content.

It can be seen from the multi-layer fast response code decoding method illustrated in FIG. 2 that the multi-layer fast response QR code image is parsed to obtain the information content contained in the single-layer QR code image, and the text information parsed from each single-layer QR code image is obtained. The connections are made in the agreed color order. Since the multi-layer QR code image is obtained by acquiring at least one set of color coefficient feature values equal to the number of image layers of the multi-layer QR code image from the bidirectional reversible color feature library, the image layer of the original QR code is as agreed The QR code image obtained by superimposing the color order, therefore, the multi-layer QR code image satisfies the transmission of a large amount of information, thereby improving the transmission efficiency, and on the other hand, increases the security of file transmission. Referring to FIG. 3, it is a schematic structural diagram of a multi-layer fast response code encoding apparatus according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown. The multi-layered fast response code encoding apparatus 03 illustrated in FIG. 3 includes an image layer number obtaining module 301, a color feature value obtaining module 302, and a superimposing module 303, wherein:

The image layer number obtaining module 301 is configured to obtain an image layer of the multi-layer fast response QR code. The multi-layer fast response QR code is a multi-layer fast response QR code obtained by encoding the original fast response QR code;

In this embodiment, the original QR code is a single-layer QR code, that is, the QR code image has only one layer, and the multi-layer QR code is a QR code obtained by encoding the original QR code, and the number of image layers N and user requirements. Related, for example, related to the security of the encrypted file, the information capacity of the multi-layer QR code, or the size of the information volume transmission. In general, the stricter the user requirements, such as the higher the security of the file or the larger the information capacity of the multi-layer QR code, the larger the image layer 3⁄4N of the multi-layer QR code.

The color feature value obtaining module 302 is configured to obtain N sets of color coefficient feature values from the bidirectional reversible color feature library, where the color coefficient feature values are used to change color parameters of the original fast response QR code image layer;

The bidirectional reversible color feature library described in this embodiment can be established in advance. The two-way reversible color feature library stores color coefficient feature values that are used to change the color parameters of the image layer of the original QR code. The color parameter of the original QR code image layer may be the RGB component of the image pixel in the original QR code image layer, that is, red (Red, R), green (Green) in the three primary colors (R, G, B) of the image. G) and blue (Blue, B).

It is called "bidirectional reversible color feature library" because the bidirectional reversible color feature library provided by the embodiment of the present invention can be used to calculate the pixel RGB component of the multi-layer QR code image when encoding the original QR code, and can be used in The number of image layers included in the multi-layer QR code image is calculated when decoding the multi-layer QR code. The image layers are superimposed in color order to obtain the multi-layer fast response QR code image.

A multi-layer QR code image obtained by superimposing the image layers of the original QR code in color order using the obtained N sets of color coefficient feature values, the number of image layers being N. If an original QR code image contains an information capacity represented by num _QR , a multi-layer QR code image obtained by superimposing the image layers of the original QR code in a predetermined color order using the acquired N sets of color coefficient feature values, including The information capacity is approximately N x mw3⁄4 _R. It can be seen that the information capacity of the multi-layer QR code image obtained after encoding is about N times that of the original QR code image, and the expansion of the information capacity means that the file can be Perform multiple encryption to increase the security of file transfer.

In this embodiment, the "color order" may be agreed by the multi-layer fast response code encoding device with the multi-layer fast response code decoding device before encoding, for example, the color order agreed upon before encoding is that the first layer is red. The second layer is yellow and the third layer is purple. In this way, the multi-layer fast response code decoding device connects the decoded information contents in this color order during decoding, and restores the original information contained in the multi-layer QR code.

According to the multi-layer fast response code encoding apparatus provided by the embodiment of the present invention, the color feature value acquiring module can obtain the color coefficient feature of the number of groups and the image layer number N of the multi-layer fast response QR code from the bidirectional reversible color feature library. The value superimposing module superimposes the original QR code image layer in color order to obtain the multi-layer QR code image, which enlarges the information capacity contained in the original QR code image. Therefore, the multi-layer QR code image obtained by the multi-layer fast response code encoding apparatus provided by the embodiment of the present invention can satisfy the transmission of a large amount of information on the one hand, thereby improving the transmission efficiency, and on the other hand, can encrypt the file multiple times, and increase the number of files. File transfer security.

It should be noted that, in the implementation manner of the foregoing multi-layer fast response code encoding apparatus, the division of each functional module is merely an example, and the actual application may be considered according to requirements, such as configuration requirements of corresponding hardware or convenience of implementation of software. The above function assignment is completed by different functional modules, that is, the internal structure of the multi-layer fast response code encoding device is divided into different functional modules to complete the above description. All or part of the functions described. Moreover, in practical applications, the corresponding functional modules in this embodiment may be implemented by corresponding hardware, or may be executed by corresponding hardware. For example, the foregoing image layer number obtaining module may have the foregoing implementation. The hardware for obtaining the image layer number N of the multi-layer fast response QR code, such as the image layer number acquirer, may also be a general processor or other hardware device capable of executing a corresponding computer program to perform the foregoing functions; It may be hardware having a function of performing the foregoing use of the N sets of color coefficient feature values to superimpose the image layers of the original QR code in a color order to obtain the function of the multi-layer QR code image, such as an overlay, or A general processor or other hardware device capable of executing a corresponding computer program to perform the aforementioned functions (the various embodiments described herein may apply the above described principles).

Before designing a multi-layer QR code, the user can know the total information capacity that the multi-layer QR code should contain, and the maximum information capacity of each layer of the multi-layer fast response QR code has an approximation. Therefore, the image layer number obtaining module 301 illustrated in FIG. 3 may be specifically configured to divide the total information capacity of the multi-layer fast response QR code by the maximum information capacity of each layer image in the multi-layer fast response QR code. Obtaining, that is, if the two can be divisible, the quotient obtained by dividing the two directly is used as the image layer number N of the multi-layer fast response QR code; if the two cannot be divisible, the quotient of dividing the two is obtained Rounding up the obtained value as the number of image layers N of the multi-layer fast response QR code, for example, dividing the total information capacity of the multi-layer QR code by the maximum information capacity of each layer image in the multi-layer QR code The quotient is 3.2, and the 4 obtained by rounding up 3.2 is used as the image layer number of the multi-layer fast response QR code.

In the multi-layered fast response code encoding apparatus illustrated in FIG. 3, each set of color feature values includes a color coefficient feature component, a color coefficient feature component, and a color coefficient feature component. The superimposing module 301 of the example of FIG. 3 may further include a pixel component superposition sub-module 401 and an image layer superposition sub-module 402, as shown in FIG. 4, a multi-layer fast response code encoding apparatus 04 according to another embodiment of the present invention, wherein: a pixel component superposition sub-module 401, configured to use the color coefficient feature component a _k , the color coefficient feature component b _{k ,} and the color coefficient feature component c _k included in each set of color feature values as a feature coefficient, Pixel RGB components of each layer image in the image layer of the original QR code are correspondingly superimposed to obtain pixel RGB components of the multi-layer QR code;

The image layer superposition sub-module 402 is configured to superimpose the image layer in color order according to the pixel RGB component of the multi-layer QR code to draw the multi-layer QR code image.

That is, each set of color feature values is represented using ( a _k , b _k , ). Pixel component superposition submodule

401. The color coefficient feature component 3⁄4, the color coefficient feature component b _k, and the color coefficient feature component c _k included in each set of color feature values may be used as feature coefficients, and the pixels of each layer image in the image layer of the original QR code may be used. The RGB components are correspondingly superimposed to obtain pixel RGB components of the multi-layer QR code, that is, pixel values, wherein, for white pixel blocks in the original QR code image, white or agreed color calibration is used; then, the image layer overlay sub-module 402 renders the multi-layer QR code image according to pixel RGB components of the multi-layer QR code. When the multi-layer QR code image is drawn, the image layer (composed of the calculated pixels of the multi-layer QR code) is superimposed in color order. For example, the calculated multi-layer QR code, one of which is yellow (the RGB component of the pixel is denoted as (Rl, Gl, B1)), and the other image layer is orange (the RGB component of the pixel is denoted as (R2, G2, B2)), and another image layer is purple (the RGB components of the pixels are recorded as (R3, G3, B3)). If the color order is yellow, orange, and purple, the image layer overlay sub-module 402 is drawn first. The yellow color of the pixel (Rl, Gl, B1) constitutes the first image layer of the multi-layer QR code, and on the first image layer composed of yellow, the orange layer of the (R2, G2, B2) superimposed pixel constitutes a multi-layer QR The second image layer of the code, on the two-layer QR code image composed of yellow and orange, superimposes the pixels to be purple of (R3, G3, B3), thereby forming a three-layer QR code image.

The pixel component superposition sub-module 401 of the example of FIG. 4 may further include an integration unit 501 and a summation unit 502, such as the multi-layer fast response code encoding apparatus 05 provided by another embodiment of the present invention, as shown in FIG.

The quadrature unit 501 is configured to: each of the color coefficient feature components a _k , the color coefficient feature component, and the color coefficient feature component included in each set of color feature values and each of the image layers of the original QR code The R component, the G component Λ and the B component of the pixel RGB component of the layer image are respectively multiplied, and the obtained products are respectively denoted as ^, b _k y _k and c _k z _k , that is, multiplied by , multiplied by ^, and Multiply, the resulting products are recorded as 3⁄4, y _k, and c _{A , respectively} . Here, the R component, the G component Λ, and the B component of the pixel RGB component of each layer image in the image layer of the original QR code are respectively red (Red, R) among the three primary colors (R, G, B) of the general image. , Green (G) and Blue (Blue, B) have the same meaning. For the white area in the original QR code, the RGB component may be the RGB component of the pixel constituting the white color, and may be the RGB component of the pixel of the other color of the agreement, which may not be limited in the embodiment of the present invention. It should be noted that if the number of layers of the image layer of the original QR code is smaller than the number of sets of the color coefficient feature values obtained from the bidirectional reversible color feature library, the R component of the pixel layer RGB component of the image layer of the original QR code is reduced. The G component ^ and the B component are regarded as 0. For example, obtaining three sets of color coefficient eigenvalues from the bidirectional reversible color feature library are denoted as (A, b _x , c _x ), ( a ₂ , b ₂ , c ₂ ) and ( α ₃ , b ₃ , c ₃ ), if The image layer of the original QR code is two layers, and the R component, the G component Λ, and the B component 3⁄4 of the pixel RGB component are respectively recorded as J _x , ) and ( , y ₂ , ), and then an image layer having less original QR code. The R component, the G component ^, and the B component, that is, ( , y ₃ , ), can be regarded as (0, 0, 0). a summation unit 502, configured to: the color coefficient feature component a _k , the color coefficient feature component, and the color coefficient feature component included in each set of color feature values and the pixel RGB component of each layer image in the image layer of the original QR code The product of the R component, the G component ^, and the B component respectively multiplied

N N N N

3⁄4, ^, and ^3⁄4 are summed separately to obtain , ∑ Λ , and

1 k=l k=l k=l

N N

And ∑ respectively as the R component, G component and B k=l k=l of the pixel RGB component of the multi-layer QR code

Component. Taking three sets of color coefficient eigenvalues (denoted as (A, b _x , ), ( a ₂ , b ₂ , c ₂ ) and ( α ₃ , b ₃ , c ₃ )) from the bidirectional reversible color feature library as an example, The image layer of the original QR code (assumed also three layers), the R component, the G component ^ and the B component of the pixel RGB component are denoted as ( j _x , ), ( x ₂ , y ₂ , ) and ( , y _{3 , respectively} , ), the R component of the RGB component of the multi-layer QR code obtained is α _λ y + c ζ ₁ , G component is α ₂ x ₂ + b ₂ y ₂ + c ₂ ζ ₂ , Β component is α ₃ x ₃ + b ₃ y ₃ + c ₃ ζ ₃ ; Specially ^, J ground, If the image layer of the original QR code has only two layers, the R component, the G component ^ and the B component 3⁄4 of the pixel RGB component are respectively denoted as ( , j _x , ) and ( , y ₂ , ), according to the foregoing provisions, y ₃ , ) is regarded as 0, and the R component of the pixel RGB component of the obtained multi-layer QR code is + y _{1 + Cl Ζι} , the G component is < _3⁄4 + b ₂ y ₂ + c ₂ , and the B component is 0 (= < _{3⁄4 3⁄4} +b ₃ y ₃ +c ₃ = <3⁄4x 0 +b ₃ x 0 +c ₃ x 0).

Referring to FIG. 6, FIG. 6 is a schematic structural diagram of a multi-layer fast response code decoding apparatus according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown. The multi-layer fast response code decoding device 06 illustrated in Fig. 6 includes a pixel component analysis module 601, an image rendering module 602, an image processing module 603, and a connection module 604, wherein:

a pixel component parsing module 601, configured to parse a multi-layer fast response QR code image to obtain a pixel RGB component of each layer image of the multi-layer QR code image, where the number of image layers of the multi-layer fast response QR code is N, The multi-layer QR code image is a multi-layer fast response QR code image obtained by acquiring N sets of color feature values from the bidirectional reversible color feature library and superimposing the image layers of the original quick response QR code in accordance with a predetermined color sequence;

An image drawing module 602, configured to draw a single-layer QR code image by pixel RGB components of each layer image of the multi-layer fast response QR code image, that is, each layer image that is parsed from the multi-layer QR code image The pixel RGB components are stored in a memory array for drawing a single layer QR code image. For a pixel block of a single-layer QR code image that does not contain a codeword (ie, does not contain information content), a convention color may be used instead, and the agreed color is included in each of the single-layer QR code images drawn;

The image processing module 603 is configured to process the single layer quick response QR code image to parse the information content included in the single layer fast response QR code image;

The connection module 604 is configured to connect the information content parsed from each single-layer quick response QR code image according to the agreed color order. As illustrated in the example of FIG. 1, since the image layer (composed of the calculated multi-layer QR code) is superimposed in the agreed color order when drawing the multi-layer QR code image, for example, the calculated multi-layer QR code One of the image layers is yellow (the RGB component of the pixel is denoted as (Rl, Gl, B1)), and the other image layer is orange (the RGB component of the pixel is denoted as (R2, G2, B2)), and one The image layer is purple (the RGB components of the pixel are recorded as (R3, G3, B3)). If the agreed color order is yellow, orange, and purple, the yellow color of the (Rl, Gl, B1) pixel is first formed to form a multi-layer. The first image layer of the QR code, on the first image layer composed of yellow, the orange image of the (R2, G2, B2) superimposed pixel constitutes the second image layer of the multi-layer QR code, which is composed of yellow and orange. On the two-layer QR code image, the purple color of the superimposed pixels (R3, G3, B3) constitutes a three-layer QR code image. Taking this as an example, it is assumed that the multi-layer QR code obtained after encoding contains the information content from 1 to 3000, and further assumes that the first image layer composed of yellow contains the content from 1 to 1000, orange The second image layer is composed of numbers from 1001 to 2000, and the third image layer composed of purple contains numbers from 2001 to 3000, in order to ensure the information content parsed from the multilayer QR code. If the order of the original information contents is the same, the connection module 604 connects the information contents of the image layers in the order of the first image layer, the second image layer, and the third image layer, and restores the original information content.

It should be noted that, in the implementation manner of the foregoing multi-layer fast response code decoding device, the division of each functional module is merely an example, and the actual application may be considered according to requirements, such as configuration requirements of corresponding hardware or convenience of implementation of software. The above function assignment is performed by different functional modules, that is, the internal structure of the multi-layer fast response code decoding device is divided into different functional modules to complete all or part of the functions described above. Moreover, in practical applications, the corresponding functional modules in this embodiment may be implemented by corresponding hardware, or may be executed by corresponding hardware. For example, the foregoing pixel component parsing module may have the foregoing parsing. a multi-layer fast response QR code image to obtain hardware of pixel RGB components of each layer image of the multi-layer QR code image, such as a pixel component parser, or a general processor capable of executing a corresponding computer program to perform the aforementioned functions or Other hardware devices; and the image drawing module as described above may be hardware having the function of performing the foregoing drawing of a single-layer QR code image by the pixel RGB components of each layer of the multi-layer QR code image, such as an image renderer, or A general processor or other hardware device capable of executing a corresponding computer program to perform the aforementioned functions (the various embodiments described herein may apply the above described principles).

The pixel component parsing module 601 of the example of FIG. 6 may further include a pixel obtaining unit 701 and a parsing unit 702, such as the multi-layer fast response code decoding apparatus 07 provided by another embodiment of the present invention, as shown in FIG.

The pixel obtaining unit 701 is configured to obtain a pixel value of a pixel of the detection pattern. Since each layer of the multi-layer QR code image has a detection pattern, for example, a "back" font, the area of the detection pattern is covered by each layer image, and the pixel containing the information also contains the information of each layer image. The color overlay. Therefore, in this embodiment, the pixel obtaining unit 701 can sample the detection pattern to obtain a pixel value of the pixel of the detection pattern. For example, the pixel points of the area covered by the detection pattern are obtained by sampling, and the approximate pixel value of the pixel of the detection pattern is obtained by using the method of averaging or mean square error; the parsing unit 702 is configured to obtain the position according to the pixel obtaining unit 701. Depicting the pixel value of the pixel of the detection pattern, parsing the number of layers of the multi-layer QR code image and the pixel value of each layer, that is, according to the multi-layer QR

_N NN

The R component of the RGB component of the pixel of the code is γ _αΛ , the G component is y _k y _k , and the B component is the k ₌ lk=lk=l rule of ∑c _k z _k , which decomposes the image layer contained in the multilayer QR code image Number of layers and pixel values for each layer, this

Ν Ν Ν

Where, and the meanings of _3⁄4 , b _k , c _k , x _k , y _k , 3⁄4, and N are the same as before k=lk=lk=l

The embodiment provided in FIG. 1 is the same and will not be described again.

The image processing module 603 illustrated in FIG. 6 or FIG. 7 may further include a binarization processing unit.

801, the identification unit 802 and the information parsing unit 803, as shown in FIG. 8, a multi-layer fast response code decoding apparatus 08 according to another embodiment of the present invention, wherein:

a binarization processing unit 801, configured to perform binarization, denoising, and morphological algorithm processing on the single-layer QR code image to obtain a binarized image; In an embodiment of the invention, a white pixel block (a pixel block that does not contain information content or a codeword that does not contain a codeword) of the binarized image is calibrated in white or a convention color.

The identifying unit 802 is configured to perform QR code identification on the binarized image, including searching for a detection pattern, a version information, a positioning pattern, a correction pattern, and a demasking information;

The information parsing unit 803 is configured to parse the binarized image after the QR code identification to obtain the information content included in the single-layer QR code image, and if the information content only includes the text information, write the information content In the text tool; if the information contains the format and file name of the original file, write it to the hard disk in the original file format.

It should be noted that the information interaction, the execution process, and the like between the modules/units of the foregoing device are the same as the embodiment of the method of the present invention. Reference is made to the description in the method embodiment of the present invention, and details are not described herein again.

One of ordinary skill in the art will appreciate that all or a portion of the various methods of the above-described embodiments can be performed by a program to instruct the associated hardware, such as one or more or all of the following various methods:

Method 1: Obtain a number of image layers N of a multi-layer fast response QR code, the multi-layer fast response QR code is a fast response QR code obtained by encoding the original fast response QR code; and obtaining N groups from the two-way reversible color feature database a color coefficient feature value, the color coefficient feature value is used to change a color parameter of the original fast response QR code image layer; and the original fast response QR code image layer is colored according to the obtained N sets of color coefficient feature values The superposition is sequentially performed to obtain the multi-layer fast response QR code image.

Method 2: Parsing a multi-layer fast response QR code image to obtain pixel RGB components of each layer of the multi-layer fast response QR code image, the number of image layers of the multi-layer fast response QR code being N, the multi-layer The quick response QR code image is a QR code image obtained by superimposing the image layers of the original quick response QR code in a color order after acquiring N sets of color coefficient feature values from the bidirectional reversible color feature library; Multi-layer fast response QR code image pixel RGB component of each layer image to draw a single layer fast response QR code image; processing the single layer fast response QR code image to parse out the single layer fast response QR code image Information content; The information content parsed from each single layer quick response QR code image is connected in the color order.

The program may be stored in a computer readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.

The above description of the multi-layer fast response code encoding and decoding method and the encoding and decoding provided by the embodiments of the present invention are provided. The description of the above embodiments is only for helping to understand the method and the core idea of the present invention. Meanwhile, the general technology in the field In the following, the description of the present invention should not be construed as limiting the scope of the present invention.

Claims

Rights request

A multi-layer fast response code encoding method, the method comprising: acquiring a number of image layers N of a multi-layer fast response QR code, wherein the multi-layer fast response QR code is for performing an original fast response QR code Multi-layer fast response QR code obtained after encoding;

The original quick response QR code image layers are superimposed in color order using the obtained N sets of color coefficient feature values to obtain the multi-layer fast response QR code image.

2. The method according to claim 1, wherein the acquiring the image layer 3⁄4N of the multi-layer fast response fast response QR code comprises:

Dividing the total information capacity of the multi-layer fast response fast response QR code from the maximum information capacity of each layer image in the multi-layer fast response fast response QR code, and obtaining the value obtained by rounding up the obtained quotient or the obtained quotient as The multi-layer fast response quickly responds to the image layer 3⁄4N of the QR code.

3. The method according to claim 1 or 2, wherein each of the sets of color coefficient feature values comprises a color coefficient feature component, a color coefficient feature component _bk, and a color coefficient feature component _ck ; Acquiring N sets of color coefficient feature values to superimpose the image layers of the original quick response QR code in color order to obtain the multi-layer fast response QR code image includes:

The color coefficient feature component, the color coefficient feature component b _k and the color coefficient feature component c _k included in each set of color feature values are used as feature coefficients, and the pixel RGB of each layer image in the image layer of the original fast response QR code is The components are correspondingly superimposed to obtain pixel RGB components of the multi-layer fast response QR code;

The image layer is superimposed in color order to render the multi-layer fast response QR code image in accordance with the pixel RGB components of the multi-layer fast response QR code.

4. The method of claim 3, wherein said initial quick response QR code The RGB components of the pixels of each layer image in the image layer are correspondingly superimposed to obtain the pixel RGB components of the multi-layer fast response QR code including:

The color coefficient feature component 226, the color coefficient feature component b _k and the color coefficient feature component c _k included in each set of color coefficient feature values and the pixel RGB component of each layer image in the image layer of the original fast response QR code The R component, the G component ^ and the B component are respectively multiplied, and the obtained products are denoted as 3⁄4 , y _k and c _k z _{k , respectively.}

The color component characteristic component, the color coefficient feature component, and the color coefficient feature component c _k included in each set of color coefficient feature values and the R component and the G component of the pixel RGB component of each layer image in the image layer of the original QR code The product % and b _k yc _k z _k obtained by multiplying Λ and B components by 3⁄4 respectively

N N N N N N

They were summed to give _Λ, _{_k} y _k and _Χ ¾¾, to the Σ _¾, Σb _{_k} y _k and Σc _A sub k = k = ik = lk = lk = lk = l respectively as the multilayer QR The R component, the G component, and the B component of the pixel RGB component of the code.

A multi-layer fast response code decoding method, the method comprising: parsing a multi-layer fast response QR code image to obtain a pixel RGB component of each layer of the multi-layer fast response QR code image, The number of image layers of the multi-layer fast response QR code is N, and the multi-layer fast response QR code image is obtained by acquiring N sets of color coefficient feature values from the bidirectional reversible color feature library, and then the image layer of the original fast response QR code is in color order. Performing a multi-layer fast response QR code image obtained by superposition; drawing a single-layer fast response QR code image from pixel RGB components of each layer image of the multi-layer fast response QR code image;

The method of claim 5, wherein the processing the single layer quick response QR code image to parse the text information included in the single layer quick response QR code image comprises: Performing binarization, denoising, and morphological algorithm processing on the single layer fast response QR code image to obtain a binarized image;

Performing a quick response on the binarized image, QR code recognition;

And parsing the binarized image after performing the fast response QR code identification to obtain the information content included in the single layer fast response QR code image.

A multi-layer fast response code encoding apparatus, wherein the apparatus comprises: an image layer number acquiring module, configured to acquire a multi-layer fast response fast response QR code image layer number N, the multi-layer fast response The quick response QR code is a multi-layer fast response QR code obtained by encoding the original fast response QR code;

a color feature value obtaining module, configured to acquire N sets of color coefficient feature values from the bidirectional reversible color feature library, wherein the color coefficient feature values are used to change color parameters of the original fast response QR code image layer; The acquired N sets of color coefficient feature values will be the original fast response

The image layers of the QR code are superimposed in color order to obtain the multi-layer fast response QR code image.

8. The apparatus according to claim 7, wherein the image layer number acquisition module is configured to obtain a multi-layer fast response fast response QR code image layer number N, including: multi-layer fast response fast response

The total information capacity of the QR code is divided by the maximum information capacity of each layer of the multi-layer fast response fast response QR code, and the resulting quotient or the resulting quotient is rounded up to obtain the multi-layer fast response fast. The image layer 3⁄4N in response to the QR code.

9. The apparatus according to claim 7 or 8, wherein each of the sets of color coefficient feature values comprises a color coefficient feature component a _k , a color coefficient feature component b _{k ,} and a color coefficient feature component c _k ; The overlay module includes:

a pixel component superposition sub-module, configured to use the color coefficient feature component a _k , the color coefficient feature component b _{k ,} and the color coefficient feature component c _k included in each set of color coefficient feature values as a feature coefficient, and the original fast response QR code The pixel RGB components of each layer of the image layer are correspondingly superimposed to obtain a pixel RGB component of a multi-layer fast response QR code;

And an image layer superposition sub-module, configured to superimpose the image layer in color order according to the pixel RGB component of the multi-layer fast response QR code to draw the multi-layer fast response QR code image.

10. The apparatus according to claim 9, wherein the pixel component superposition sub-module comprises:

An quadrature unit, configured to use the color feature component 3⁄4, the color coefficient feature component b _k, and the color coefficient feature component c _k included in each set of color coefficient feature values and each layer image in the image layer of the original fast response QR code The R component, the G component ^ and the B component of the pixel RGB component are respectively multiplied, and the obtained products are denoted as a _k x _k , b _k y _k and c _k z _{k , respectively} ;

a summation unit, configured to, for each of the set of color feature values, a color coefficient feature component, a color coefficient feature component _bk, and a color coefficient feature component _ck and a pixel RGB of each layer image in the image layer of the original QR code The product of the component R component, the G component y _k and the B component 3⁄4 are multiplied by a _k x _k ,

NNN ^ ^ )^ and sum, respectively, get ∑^Λ and ∑c _k z _k , with the ∑"Λ, ∑ y _k

N k = lk = lk = l ^{k = 1 k = 1} and ∑ respectively as the R component, the G component and the B component k = l of the pixel RGB component of the multi-layer fast response QR code

the amount.

A multi-layer fast response code decoding device, the device comprising: a pixel component parsing module, configured to parse a multi-layer fast response fast response QR code image to obtain the multi-layer fast response QR code image a pixel RGB component of a layer of image, the number of image layers of the multi-layer fast response QR code is N, and the multi-layer fast response QR code image is obtained by acquiring N sets of color coefficient feature values from the bidirectional reversible color feature library a multi-layer fast response QR code image obtained by superimposing image layers in response to a QR code in color order;

An image processing module, configured to process the single layer quick response QR code image to parse the image Describe the information content contained in the single layer quick response QR code image;

12. The apparatus according to claim 11, wherein the image processing module comprises: a binarization processing unit, configured to perform binarization, denoising, and morphology on the single layer fast response QR code image. Algorithm processing to obtain a binarized image;

An identification unit, configured to perform fast response on the binarized image, and perform QR code identification;

The information parsing unit is configured to parse the binarized image after performing the fast response QR code identification to obtain the information content included in the single layer quick response QR code image.