CN108551540B - Printing quantum dot watermark coding method based on pseudo-random information spatial domain modulation - Google Patents

Abstract

The invention discloses a printing quantum dot watermark coding method for pseudo-random information spatial modulation, including (1) data normalization coding; (2) information encryption; (3) triple detection error correction coding; (4) printing the original image of the quantum dot cloud; (5) Image scale matching and partition replication; (6) Partition pseudo-random scrambling; (7) Non-associative blind implantation of carrier images. The invention is based on the information hiding of printed quantum dots and its reliability coding method, and is a reliable and safe information anti-counterfeiting, information hiding and information value-added service technology that can hide anti-counterfeiting marks, images or text information in printed images. The encoding method overcomes the defects of the existing halftone information anti-counterfeiting technology in anti-duplication and anti-breakage, as well as the shortcomings in the simplicity of the information implantation method.

Description

A Watermark Coding Method for Printed Quantum Dots Based on Spatial Modulation of Pseudorandom Information

technical field

The invention relates to the field of printing anti-counterfeiting, in particular to a printing quantum dot watermark coding method of pseudo-random information spatial modulation.

Background technique

The information hiding method based on printed quantum dots is different from the halftone information hiding method based on embedding equivalent grayscale FM (frequency modulation) dots in halftone AM (amplitude modulation), and it is also different from the method of realizing information hiding by modulating the shape of AM (amplitude modulation) dots. Different from the method of realizing information hiding based on the frequency domain characteristics of continuous tone image, it is a method to realize information hiding based on pseudo-random modulation based on the spatial lattice data of the smallest ink dots (non-subdividable) of printing and printing imaging.

The method does not need to establish an association relationship with the carrier image when realizing the information hiding of the printed quantum dot image, and is a simple and easy halftone information hiding method with extremely strong anti-copying performance of blind implantation. The technical realization of this method is affected by the uncertain factors of the imaging quality of the printed quantum dots, and a large amount of information contamination will be generated during the printing or printing process, resulting in a high bit error rate when the method extracts hidden information. Reliable coding technology with strong error detection and error correction ability that conforms to the characteristics of printing or printing can be overcome and solved.

SUMMARY OF THE INVENTION

The purpose of the present invention is to overcome the deficiencies of the halftone information anti-counterfeiting technology in the aspects of anti-copying, anti-breakage performance and the simplicity of the information implantation method, and provide a kind of information based on printing quantum dots (printed or printed minimum imaged ink dots) Concealment and its reliability encoding method.

The technical scheme adopted by the present invention to solve its technical problems is:

A printing quantum dot watermark coding method using pseudo-random information spatial modulation, the method uses pseudo-random information to modulate the printing quantum dot spatial vector lattice data to carry anti-counterfeiting marks or images and text information that need to be hidden, and the method comprises the following steps:

(1) Data normalization coding

Process information in different formats of anti-counterfeiting signs, images or texts to make them standardized binary stream data information;

(2) Information encryption

Encrypt the normalized data produced in step (1) according to an encryption algorithm to generate ciphertext information;

(3) Triple detection error correction coding

To the ciphertext information produced in step (2), carry out the first heavy linear block code coding, the second heavy spread spectrum coding, and the third heavy two-dimensional even-check coding;

(4) Original image of printed quantum dot cloud

For the original lattice image of the printed quantum dots generated by the triple combination error detection and correction coding in step (3), the data information is recorded through the spatial lattice distribution of the printed quantum dots;

(5) Image scale matching and partition replication

According to the carrier image and the binary airspace lattice data information generated in step (4), the size and scale are matched, so as to realize the partition replication of the printed quantum dot cloud image;

(6) Partition pseudo-random scrambling

Pseudo-random scrambling is performed on the spatial lattice data of each partition to generate an anti-counterfeiting image of printed quantum dots with randomization and uniform distribution in spatial distribution;

(7) Non-Associated Blind Implant Carrier Image

The anti-counterfeiting image of the printed quantum dots generated in step (6) is loaded onto the carrier image by a non-correlated blind implantation method to generate a watermarked image of the printed quantum dots with anti-duplication and anti-breakage.

As an improvement of the above technical solution, the method further includes step (8) outputting the anti-counterfeiting image of the printed quantum dots: outputting the anti-counterfeiting image of the printed quantum dots generated in the step (7) on a medium by printing or printing. Printing methods include inkjet printing and laser printing, and printing methods include offset printing, gravure printing, flexo printing and silk screen printing.

As an improvement of the above technical solution, the data normalization processing in step (1) includes normalizing the anti-counterfeiting signs, images, texts, website addresses, item codes, and serial numbers to obtain normalized binary source code stream data information.

As an improvement of the above technical solution, the information encryption in step (2) includes encrypting the binary code stream data according to the MD5, RSA or DES encryption algorithm to generate ciphertext information.

As an improvement of the above technical solution, the triple error detection and correction coding in step (3) includes the first multiple linear block code (BCH, RS, CRC) coding, the second multiple direct sequence spread spectrum coding, and after serial/parallel conversion , and then perform the third double-vehicle even-check encoding.

As an improvement of the above technical solution, the encoding in step (3) is based on binary bit stream data and character string data generated by encoding the binary bit stream data.

As an improvement of the above-mentioned technical solution, the image scale matching in step (5) refers to transferring the spatial lattice data and the basis with serial codes, performing periodic replication in space, and producing a plurality of serial The code stream is converted into spatial lattice data spliced to form an anti-counterfeiting lattice map.

As an improvement of the above technical solution, the partition pseudo-random scrambling in step (6) refers to splicing an anti-counterfeiting lattice map from multiple serial code streams to spatial lattice data, and converting the space lattice according to a single serial code stream. is a unit, and pseudo-random interleaving coding of different order iterations is performed respectively.

As an improvement of the above technical solution, the partition pseudo-random scrambling refers to using pseudo-random interleaving coding of different order iterations to perform interleaving iterative operations on the images of each partition, including changing the interleaving function.

As an improvement of the above technical solution, the non-associative blind implantation of the carrier image in step (7) refers to directly modulating the carrier image with the partitioned pseudo-randomly scrambled dot matrix image of the printed quantum dots to realize information loading and hiding.

As an improvement of the above technical solution, the carrier image includes a continuous-tone monochrome image, a continuous-tone color image, a half-tone monochrome image and a half-tone color image.

The beneficial effects brought by the present invention are:

The invention is based on the information hiding of printed quantum dots and its reliability coding method, and is a reliable and safe information anti-counterfeiting, information hiding and information value-added service technology that can hide anti-counterfeiting marks, images or text information in printed images. The encoding method overcomes the defects of the existing halftone information anti-counterfeiting technology in anti-duplication and anti-breakage, as well as the shortcomings in the simplicity of the information implantation method.

Description of drawings

The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments,

Accompanying drawing 1 is the flow chart of the first embodiment of the present invention;

Fig. 2 is a flow chart of triple detection error correction coding of the present invention.

Detailed ways

Example 1

An encoding method for anti-counterfeiting labels, anti-counterfeiting certificates, anti-counterfeiting tickets and anti-counterfeiting negotiable securities mainly applied to the digital printing method of paper medium.

With reference to accompanying drawing 1, this method comprises the following steps:

(1) Data normalization coding

Process information in different formats of anti-counterfeiting signs, images or texts to make them standard binary source code stream data information.

(2) Information encryption

The normalized data produced in step (1) is encrypted according to the MD5, RSA or DES encryption algorithm to generate ciphertext information.

(3) Triple detection error correction coding

For the ciphertext information produced in step (2), carry out the first repetition of linear block code (BCH, RS, CRC) coding, the second repetition of spread spectrum coding, and the serial/parallel conversion, and then carry out the third repetition of two-dimensional wich even Check encoding; the encoding is based on binary bit stream data and string data generated by encoding the binary bit stream data.

(4) Original image of printed quantum dot cloud

For the original lattice image of the printed quantum dots generated by the triple combination error detection and correction coding in step (3), data information is recorded through the spatial lattice distribution of the printed quantum dots.

(5) Image scale matching and partition replication

According to the carrier image and the binary spatial lattice data information generated in step (4), the size and scale are matched to realize the partition copy of the printed quantum dot point cloud image; the image scale matching refers to the serial code stream to the spatial lattice data and the basis to perform spatial Periodic duplication, producing an anti-counterfeiting bitmap that matches the size of the carrier image by splicing multiple serial code streams to spatial lattice data.

(6) Partition pseudo-random scrambling

Pseudo-random scrambling is performed on the spatial lattice data of each partition to generate an anti-counterfeiting image of printed quantum dots with randomization and uniform distribution in spatial distribution; The data is spliced to form an anti-counterfeiting lattice map, and the pseudo-random interleaving coding of different order iterations is carried out according to the unit of a single serial code stream to the space domain lattice. The image is interleaved iteratively, including changing the interleaving function.

(7) Non-Associated Blind Implant Carrier Image

For the printed quantum dot anti-counterfeiting image generated in step (6), a non-correlated blind implantation method is used to directly modulate the carrier image to generate a printed quantum dot watermark image with anti-copying and anti-breakage, so as to realize information loading and hiding. The carrier image includes a continuous-tone monochrome image, a continuous-tone color image, a half-tone monochrome image and a half-tone color image.

(8) Printout

The printed quantum dot anti-counterfeiting image generated in step (7) is output on a paper medium by printing. Printing methods include inkjet printing and laser printing.

Example 2

An encoding method for anti-counterfeiting labels, anti-counterfeiting certificates, anti-counterfeiting tickets and anti-counterfeiting negotiable securities mainly applied to the digital printing method of plastic film medium.

Steps (1) to (7) of the method are the same as those of Embodiment 1, and step (8) is printed and output: the printed quantum dot anti-counterfeiting image generated in step (7) is output on a plastic film medium by printing. Printing methods include inkjet printing and laser printing.

Example 3

An encoding method for anti-counterfeiting labels, anti-counterfeiting certificates, anti-counterfeiting tickets and anti-counterfeiting negotiable securities mainly applied to the printing method of paper medium.

Steps (1) to (7) of the method are the same as those of Embodiment 1, and step (8) is printed and output: the printed quantum dot anti-counterfeiting image generated in step (7) is output on a paper medium by printing. Printing methods include offset printing, gravure printing, flexo printing and silk screen printing.

Example 4

An encoding method for anti-counterfeiting labels, anti-counterfeiting certificates, anti-counterfeiting tickets and anti-counterfeiting negotiable securities mainly applied to the printing method of plastic film medium.

Steps (1) to (7) of the method are the same as those of Example 1, and step (8) is printed and output: the printed quantum dot anti-counterfeiting image generated in step (7) is output on a plastic film medium by printing. Printing methods include offset printing, gravure printing, flexo printing and silk screen printing.

Example 5

A triple detection error correction coding method.

With reference to accompanying drawing 2, this method comprises the combination mode and program flow of triple encoding, and specifically comprises the following steps:

(1) Linear block code (BCH, RS, CRC) encoding;

(2) Direct Sequence Spread Spectrum Coding (DSSS);

(3) serial/parallel conversion;

(4) Two-dimensional even-check code.

Wherein, the data to be encoded described in step (1) is serial stream data, including binary and multi-bit data, character strings; the data to be encoded described in step (1) is anti-counterfeiting identification data, text, Image and two-dimensional code data; step (4) parity check coding includes two coding methods of parity check of overall parallel data and parity check of parallel packet data.

Although various embodiments of the present invention have been described above, it will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the foregoing are merely preferred embodiments of the present invention and should not be considered as used to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still belong to the scope of the patent of the present invention.

At the same time, it should be understood that although this specification is described in terms of embodiments, not every embodiment only includes an independent technical solution, and this description in this specification is only for the sake of clarity, and those skilled in the art should take the specification as a whole, The technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims (8)

1. the printing quantum dot watermark coding method of pseudorandom information airspace modulation, is characterized in that: described method utilizes pseudorandom information to modulate printing quantum dot airspace vector lattice data, so that it carries anti-counterfeiting marks or needs hidden image, text information, The method includes the following steps: (1) Data normalization coding; Process information in different formats of anti-counterfeiting signs, images or texts to make them standardized binary stream data information; (2) Information encryption; Encrypt the normalized data produced in step (1) according to an encryption algorithm to generate ciphertext information; (3) Triple detection error correction coding; To the ciphertext information produced in step (2), carry out the first heavy linear block code coding, the second heavy spread spectrum coding, and the third heavy two-dimensional even-check coding; (4) Original image of printed quantum dot cloud; For the original lattice image of the printed quantum dots generated by the triple-detection error correction coding in step (3), the data information is recorded by the spatial lattice distribution of the printed quantum dots; (5) Image scale matching and partition copying; According to the carrier image and the binary airspace lattice data information generated in step (4), the size and scale are matched, so as to realize the partition replication of the printed quantum dot cloud image; (6) Partition pseudo-random scrambling; Pseudo-random scrambling is performed on the spatial lattice data of each partition to generate an anti-counterfeiting image of printed quantum dots with randomization and uniform distribution in spatial distribution; (7) Non-associative blind implant carrier images; The non-associative blind implantation of the carrier image refers to directly modulating the carrier image with the partitioned pseudo-randomly scrambled dot matrix image of the printed quantum dots, so as to realize information loading and hiding, and for the printed quantum dot anti-counterfeiting image generated in step (6), Using the non-associative blind implantation method, it is loaded onto the carrier image to generate a printed quantum dot watermark image with anti-copying and anti-breakage; (8) Printed quantum dot anti-counterfeiting image output. 2. The method for encoding printing quantum dot watermarks according to claim 1, wherein the data normalization process described in step (1) comprises normalizing the anti-counterfeiting marks, images, texts, website addresses, item codes, and serial numbers. , get the standard binary source code stream data information. 3. printing quantum dot watermark coding method according to claim 1 and 2, is characterized in that: information encryption described in step (2) comprises to binary code stream data, encrypts according to MD5, RSA or DES encryption algorithm, generates Encrypted information. 4. printing quantum dot watermark coding method according to claim 3, is characterized in that: described in step (3), the triple error correction coding comprises the first multiple linear block code coding, the second multiple direct sequence spread spectrum coding, After serial/parallel conversion, the third double-vehicle even-check coding is performed. 5. printing quantum dot watermark coding method according to claim 4, is characterized in that: described coding in step (3) is based on binary bit stream data and string data generated by binary bit stream data coding. 6. printing quantum dot watermark coding method according to claim 1 or 4, is characterized in that: described in step (5), the image scale matching is to refer to with serial code stream transfer spatial lattice data and base to carry out space periodic duplication , to generate an anti-counterfeiting bitmap that matches the size of the carrier image and is spliced from multiple serial code streams to spatial domain data. 7. printing quantum dot watermark coding method according to claim 6, it is characterized in that: described in the step (6), the partition pseudo-random scrambling refers to the anti-counterfeiting made by a plurality of serial code streams transferred spatial lattice data splicing Bitmap, according to a single serial code stream converted to space-domain lattice as a unit, respectively perform pseudo-random interleaving coding of different order iterations. 8. The printing quantum dot watermark coding method according to claim 7, wherein the partition pseudo-random scrambling refers to adopting pseudo-random interleaving coding of different order iterations, and performing interleaving iteration on the image of each partition operations, including changing the interleaving function.

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