CN117541393B - NFT transaction method and system - Google Patents

NFT transaction method and system Download PDF

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Publication number
CN117541393B
CN117541393B CN202410033189.8A CN202410033189A CN117541393B CN 117541393 B CN117541393 B CN 117541393B CN 202410033189 A CN202410033189 A CN 202410033189A CN 117541393 B CN117541393 B CN 117541393B
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digital
watermark
image
images
digital collection
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CN117541393A (en
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张兵
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Yuexiang Starlight Beijing Technology Co ltd
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Yuexiang Starlight Beijing Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/12—Payment architectures specially adapted for electronic shopping systems
    • G06Q20/123—Shopping for digital content
    • G06Q20/1235—Shopping for digital content with control of digital rights management [DRM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4014—Identity check for transactions

Abstract

The invention provides an NFT transaction method and system, which relate to the technical field of NFT transaction and comprise the following steps: performing real name authentication on the buyer and the seller, and performing gray level analysis on a frame-taking image of the seller digital collection after the real name authentication to obtain an address code of the seller digital collection; taking a frame image of the digital collection as a watermark constituting image, and obtaining all digital watermark images based on the watermark constituting image; carrying out watermark availability test on all digital watermark images to obtain all available watermark images, and selecting an optimal watermark image; obtaining the encrypted digital collection of the seller based on the optimal watermark image, and generating a digital collection transaction contract; when contract fulfillment takes effect, the number of pixel permutations and address codes of the optimal watermark image of the digital collection sold by the seller are sent to the buyer. The invention solves the transaction safety problem and the defect that the digital collection is not protected in the transaction process of the digital collection, and realizes the safety protection of the transaction and the content protection of the digital collection.

Description

NFT transaction method and system
Technical Field
The invention relates to the technical field of blockchain, in particular to an NFT transaction method and system.
Background
Currently, NFT transaction systems are a digital asset transaction system that is rapidly rising in recent years, which enables the transaction and transfer of non-replaceable tokens through blockchain technology. The NFT transaction system has a very wide application scenario. Artwork and collectibles are one of the most common applications, especially digital drawings, pictures, video. By digitizing artwork or collectibles and creating corresponding NFTs, artists and collectibles can conduct transactions on the NFT transaction system, enabling digital ownership transfer of artwork and collectibles. This provides new creation and income means for artists, and also provides a more convenient and safe trading platform for collection fans.
However, the existing NFT transaction method and system do not consider the security of transactions and the content protection of digital collections in the digital collection transaction process, but only reduce NFT transaction costs by avoiding intermediary information carried in NFT ticket of digital asset. For example, publication number "CN115660665a", patent name "NFT transaction method, system, apparatus, device, and storage medium", the method includes the steps of: receiving a transaction request sent by an asset buyer, wherein the transaction request comprises identification information of a digital asset and first fees; generating a first NFT ticket for the digital asset on a coalition chain based on the identification information and the first fee, wherein the first NFT ticket characterizes a transaction fee record for the digital asset; generating a second NFT ticket for the digital asset on a public chain based on digital asset information for the digital asset; transfer ownership of the first NFT ticket to the asset buyer over the federation chain and transfer ownership of the second NFT ticket to the asset buyer over the public chain. By applying the embodiment of the invention, the intermediary information carried in the NFT ticket of the digital asset is avoided, and the NFT transaction cost is reduced. However, the patent only realizes that the NFT ticket of the digital asset does not carry the intermediary information, reduces the NFT transaction cost, and does not consider the security of the transaction and the content protection of the digital collection in the process of the digital collection transaction.
Therefore, the invention provides an NFT transaction method and system for enhancing the transaction safety and the content protection of digital collections in the transaction process of the digital collections.
Disclosure of Invention
The invention provides an NFT transaction method and system, which are used for carrying out real-name authentication on buyers and sellers, ensuring the safety of transactions, carrying out frame taking processing on digital collections of sellers, accurately obtaining frame taking images of the digital collections, more accurately obtaining address codes of the digital collections of the sellers through gray level analysis on the frame taking images, more rapidly obtaining watermark composition images of the digital collections, saving time for obtaining subsequent digital watermark images, accurately obtaining all digital watermark images of the digital collections according to watermark composition images of the digital collections, carrying out watermark availability check on the basis of the digital watermark images and the frame taking images, accurately identifying all digital watermark images of each digital collection, screening out the non-available watermark images, accurately selecting the optimal watermark image of each digital collection from all available watermark images of each digital collection, obtaining the pixel replacement times of the optimal watermark image, accurately obtaining encrypted digital collections of the sellers according to the optimal watermark images, realizing the content protection of the digital collections, receiving the purchase application of the buyers in real time, automatically generating watermark availability check on the basis of the digital watermark images and carrying out the best-available watermark replacement times when the buyers take effect the digital collection images and the best-available watermark replacement times are carried out the digital collection contract.
The invention provides an NFT transaction method, which comprises the following steps:
s1: performing real-name authentication on the buyer and the seller based on the basic information, performing frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, and performing gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller;
s2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
s3: carrying out watermark availability inspection on the basis of all digital watermark images and frame-taking images of each digital collection to obtain all available watermark images of each digital collection, selecting an optimal watermark image of each digital collection on the basis of all available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
s4: the optimal watermark image of each digital collection is utilized to replace the corresponding frame taking image, so that the encrypted digital collection of the seller is obtained, the buying application of the buyer is received in real time, and a digital collection transaction contract is generated in real time according to the buying application;
S5: when the contract is detected to be effective, the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller are automatically sent to the background of the buyer.
Preferably, the NFT transaction method, S1: based on basic information, carrying out real-name authentication on a buyer and a seller, carrying out frame taking processing on the digital collection of the seller passing through the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller, and comprising the following steps:
s101: collecting basic information uploaded by a buyer and a seller, and performing real-name authentication on the buyer and the seller based on the collected basic information;
s102: acquiring all the digital collections of the seller passing the real-name authentication, and acquiring single-frame images of the digital collections of the seller at any time to serve as frame-taking images corresponding to the digital collections of the seller;
s103: and carrying out gray level analysis on all the frame-taking images to obtain address codes of all the digital collections of the seller.
Preferably, the NFT transaction method, S103: gray level analysis is carried out on all the frame-taking images to obtain address codes of all the digital collections of the seller, wherein the address codes comprise:
s1031: obtaining all frame taking images of all digital collections of a seller, summing R components, G components and B components at all pixel point positions on each frame taking image, solving the average value of the R components, the G components and the B components at each pixel point position on each frame taking image, and obtaining the gray value at each pixel point position on each frame taking image;
S1032: judging whether the gray value of each pixel point position on each frame taking image is larger than a preset gray critical value, setting the address element of the pixel point position corresponding to the gray value to be 1 when the gray value is larger than the preset gray critical value, and setting the address element of the pixel point position corresponding to the gray value to be 0 when the gray value is not larger than the preset gray critical value;
s1033: the method comprises the steps of obtaining address elements at all pixel positions on each frame taking image, sorting the address elements at all pixel positions on the frame taking image based on a preset sequence, obtaining a binary string of the frame taking image, and taking the obtained binary string of each frame taking image as an address code of a digital collection corresponding to each frame taking image.
Preferably, the NFT transaction method, S2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark constituent images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark constituent images of each digital collection, wherein the frame-taking images comprise:
s201: acquiring a frame-taking image corresponding to the digital collection of the seller, and setting the frame-taking image of the digital collection as a watermark composition image of the digital collection;
S202: all digital watermark images of each digital collection are obtained based on the watermark composition image of each digital collection.
Preferably, the NFT transaction method, S202: obtaining all digital watermark images of each digital collection based on the watermark composition image of each digital collection, including:
acquiring address elements of all pixel points on an image formed by watermarks of each digital collection, and counting the number of pixel points with address elements of 1 at the pixel points and the number of pixel points with address elements of 0 at the pixel points;
taking the quotient of the product of the abscissa value of each pixel point on the watermark formation image and the number of the pixel points with the address element of 1 in the watermark formation image and the single digit of the side length of the watermark formation image as a new abscissa value after the pixel replacement of the corresponding pixel point in the watermark formation image;
multiplying the product of the number of pixel points with the address element of 1 and the number of pixel points with the address element of 0 in the watermark constituting image by a value obtained by adding 1 to the ordinate value of the pixel points on the watermark constituting image to obtain a product, and taking the quotient of the product and the single digit of the side length of the watermark constituting image as a new ordinate value after pixel replacement of the pixel points;
acquiring new abscissa values and new ordinate values of all pixel points of each watermark constituting image after pixel replacement, determining new pixel point positions based on the new abscissa values and the new ordinate values, deleting all new pixel point positions beyond a position range, setting gray values of the remaining pixel point positions except the new pixel point positions within the position range to be 0, acquiring digital watermark images of each watermark constituting image, and continuously performing pixel replacement based on the latest acquired digital watermark images until the pixel replacement of preset times is completed, thereby acquiring all the digital watermark images of each digital collection.
Preferably, the NFT transaction method performs watermark availability check based on all digital watermark images and frame-taking images of each digital collection, and obtains all available watermark images of each digital collection, including:
based on the gray value of each pixel point in the digital watermark image, calculating the available value of each digital watermark image:
；
wherein S is the available value of each digital watermark image, lg is a base 10 logarithmic function, m is the lateral side length of the digital watermark image or the frame-taking image, n is the longitudinal side length of the digital watermark image or the frame-taking image,in order to obtain the gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the frame image, +.>The gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the digital watermark image;
and comparing the available values of all the digital watermark images of each digital collection with a preset available value, and selecting the digital watermark image with the available value of each digital collection larger than the preset available value as all the available watermark images of each digital collection.
Preferably, the NFT transaction method selects an optimal watermark image of each digital collection based on all available watermark images of each digital collection, and obtains the number of pixel permutations of the optimal watermark image, including:
And acquiring all available watermark images of each digital collection, taking the available watermark image corresponding to the maximum available value as the optimal watermark image corresponding to the digital collection, and acquiring the pixel replacement times of the optimal watermark image.
Preferably, the NFT transaction method, S4: the method comprises the steps of replacing a corresponding frame taking image by utilizing an optimal watermark image of each digital collection, obtaining an encrypted digital collection of a seller, receiving a purchase request of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase request, wherein the method comprises the following steps:
s401: replacing the corresponding frame taking image by utilizing the optimal watermark image of each digital collection, and taking the digital collection with the replaced frame taking image as the encrypted digital collection of the seller;
s402: and acquiring the purchase application of the buyer in real time, and generating a digital collection transaction contract according to the digital collection information corresponding to the purchase application and the basic information of the buyer and the seller.
Preferably, the NFT transaction method, S5: when the contract performance is detected to be effective, the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller are automatically sent to the buyer background, and the method comprises the following steps:
and detecting the electronic signature of the automatically generated digital collection transaction contract in real time, and transmitting the pixel replacement times and the address codes of the optimal watermark image of the digital collection purchased by the buyer to the buyer background when the electronic signatures of the buyer and the seller detected in real time in the digital collection transaction contract are matched with the reserved electronic signature handwriting.
The present invention provides an NFT transaction system for executing any one of the NFT transaction methods of embodiments 1 to 9, comprising:
the authentication module is used for carrying out real-name authentication on the buyer and the seller based on the basic information, carrying out frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images, and obtaining address codes of all the digital collections of the seller;
the image processing module is used for acquiring frame-taking images of all digital collections of the seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
the image screening module is used for carrying out watermark availability check on the basis of all the digital watermark images and the frame taking images of each digital collection, obtaining all the available watermark images of each digital collection, selecting the optimal watermark image of each digital collection on the basis of all the available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
the contract generation module is used for replacing the corresponding frame taking image by utilizing the optimal watermark image of each digital collection, obtaining the encrypted digital collection of the seller, receiving the purchase application of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase application;
And the sending module is used for automatically sending the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller to the background of the buyer when the contract fulfillment is detected to be effective.
Compared with the prior art, the invention has the following beneficial effects: the method comprises the steps of carrying out real-name authentication on a buyer and a seller to ensure transaction safety, carrying out frame taking processing on digital collections of the seller, accurately obtaining frame taking images of the digital collections, carrying out gray level analysis on the frame taking images, more accurately obtaining address codes of the digital collections of the seller, more rapidly obtaining watermark formation images of the digital collections, saving time for obtaining subsequent digital watermark images, accurately obtaining all digital watermark images of the digital collections according to the watermark formation images of the digital collections, carrying out watermark availability check on the basis of the digital watermark images and the frame taking images, accurately identifying all digital watermark images of each digital collection, screening out the optimal watermark images of each digital collection from all available watermark images of each digital collection, obtaining pixel replacement times of the optimal watermark images, accurately obtaining encrypted digital collections of the seller according to the optimal watermark images, realizing content protection of the digital collections, receiving purchase application of the buyer in real time, generating a digital collection contract according to the purchase application, automatically detecting whether the transaction is more convenient and fast and convenient, and automatically carrying out the best watermark replacement times of the digital collections to the best addresses of the sellers.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objects and other advantages of the invention may be realized and obtained by means of the instrumentalities particularly pointed out in the written specification.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of an NFT transaction method in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart of S1 in an NFT transaction method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an NFT transaction system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1: the invention provides an NFT transaction method, referring to FIG. 1, comprising the following steps:
S1: performing real-name authentication on the buyer and the seller based on the basic information, performing frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, and performing gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller;
s2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
s3: carrying out watermark availability inspection on the basis of all digital watermark images and frame-taking images of each digital collection to obtain all available watermark images of each digital collection, selecting an optimal watermark image of each digital collection on the basis of all available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
s4: the optimal watermark image of each digital collection is utilized to replace the corresponding frame taking image, so that the encrypted digital collection of the seller is obtained, the buying application of the buyer is received in real time, and a digital collection transaction contract is generated in real time according to the buying application;
S5: when contract fulfillment is detected to be effective, the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller are automatically sent to the background of the buyer (the buyer can access and remove the watermark of the digital collection based on the address codes of the purchased digital collection and the pixel replacement times of the frame-taken image of the optimal watermark image).
In this embodiment, the digital collection is stored in the system as an appearance image or an appearance video of a plurality of digital collections in this embodiment.
In this embodiment, the basic information is the name, identification number, etc. of the buyer and the seller.
In the embodiment, the real-name authentication is to compare the basic information such as the names, the identification card numbers and the like of the buyers and sellers filled in on the platform with the basic information, and if the comparison is consistent, the real-name authentication is marked on the platform as passed.
In this embodiment, the digital collection of the seller is a digital collection owned by the seller on the digital collection transaction platform, including digital drawings, pictures, videos, and the like.
In this embodiment, the framing process is to acquire a single frame image of the digital collection of the seller at any time.
In this embodiment, the frame capturing image is an image of a digital collection of a seller obtained by performing frame capturing processing on the digital collection of the seller.
In this embodiment, the gray level analysis is a process of processing R, G, and B components at all pixel positions on the frame-taken image to obtain a gray level value at each pixel position on each frame-taken image.
In this embodiment, the address code of the digital collection is a binary string obtained according to all pixel positions on the frame capturing image of the digital collection (the order of ordering the address elements of the pixels on the frame capturing image according to the principle that the pixel positions on the frame capturing image are from left to right and from top to bottom).
In this embodiment, the watermark constitutes a frame-taken image of the image as a digital collection.
In this embodiment, the digital watermark image is an image obtained by pixel replacement of a watermark constituting image according to the digital collection.
In this embodiment, watermark availability test is a method of calculating an available value of each digital watermark image according to a gray value of each pixel point in the digital watermark image, and checking the digital watermark image according to whether the available value is greater than a preset available value.
In this embodiment, the available watermark image is a digital watermark image having an available value greater than a preset available value.
In this embodiment, the best watermark image is the available watermark image corresponding to the maximum available value.
In this embodiment, the pixel replacement is a fixed transformation of the abscissa and ordinate values of all the pixels of the watermark constituting image (each pixel replacement is to continue the same calculation step as described above on the basis of the digital watermark image obtained in the previous time, and a new digital watermark image is obtained each time the pixel replacement is performed.
In this embodiment, the number of pixel permutations of the optimal watermark image is the total number of pixel permutations that the watermark constituting image needs to perform to transform into the optimal watermark image.
In this embodiment, the encrypted digital stock is a modified digital stock obtained by replacing the optimal watermark image of the digital stock with the corresponding frame-taking image.
In this embodiment, the purchase request is a purchase request initiated by the buyer to the seller based on the platform.
In this embodiment, the digital collection transaction contract is a transaction contract automatically generated based on the digital collection information corresponding to the purchase request and the basic information of the buyer and the seller to agree on the digital collection transaction details.
In this embodiment, the contract fulfillment validation is performed by performing electronic signature detection on an automatically generated digital collection transaction contract, and the contract fulfillment validation is determined when both the electronic signatures of the buyer and the seller detected in real time in the digital collection transaction contract are in compliance with the reserved electronic signature writing.
In this embodiment, the purpose of automatically sending the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller to the buyer's background is that the buyer reversely pushes back the frame image according to the calculation process (known to the buyer) of performing the pixel replacement once and the replacement times of the optimal watermark image and the buyer performs the content addressing on the digital collection according to the address codes of the digital collection.
The beneficial effects of the technology are as follows: the method comprises the steps of carrying out real-name authentication on a buyer and a seller to ensure transaction safety, carrying out frame taking processing on digital collections of the seller, accurately obtaining frame taking images of the digital collections, carrying out gray level analysis on the frame taking images, more accurately obtaining address codes of the digital collections of the seller, more rapidly obtaining watermark formation images of the digital collections, saving time for obtaining subsequent digital watermark images, accurately obtaining all digital watermark images of the digital collections according to the watermark formation images of the digital collections, carrying out watermark availability check on the basis of the digital watermark images and the frame taking images, accurately identifying all digital watermark images of each digital collection, screening out the optimal watermark images of each digital collection from all available watermark images of each digital collection, obtaining pixel replacement times of the optimal watermark images, accurately obtaining encrypted digital collections of the seller according to the optimal watermark images, realizing content protection of the digital collections, receiving purchase application of the buyer in real time, generating a digital collection contract according to the purchase application, automatically detecting whether the transaction is more convenient and fast and convenient, and automatically carrying out the best watermark replacement times of the digital collections to the best addresses of the sellers.
Example 2: based on embodiment 1, NFT transaction method, S1: based on basic information, carrying out real-name authentication on a buyer and a seller, carrying out frame taking processing on the digital collection of the seller passing through the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller, referring to fig. 2, comprising:
s101: collecting basic information uploaded by a buyer and a seller, and performing real-name authentication on the buyer and the seller based on the collected basic information;
s102: acquiring all the digital collections of the seller passing the real-name authentication, and acquiring single-frame images of the digital collections of the seller at any time to serve as frame-taking images corresponding to the digital collections of the seller;
s103: and carrying out gray level analysis on all the frame-taking images to obtain address codes of all the digital collections of the seller.
In this embodiment, the single frame image is one frame image in a digital collection (including digital works, pictures, videos) to the seller at any time.
The beneficial effects of the technology are as follows: the buyer and the seller are subjected to real-name authentication, the transaction safety is ensured, the digital collection of the seller is subjected to frame taking processing, the frame taking image of the digital collection is accurately obtained, and the address code of the digital collection of the seller is more accurately obtained through gray level analysis of the frame taking image, so that the subsequent buyer can conveniently access the digital collection.
Example 3: based on embodiment 2, the NFT transaction method, S103: gray level analysis is carried out on all the frame-taking images to obtain address codes of all the digital collections of the seller, wherein the address codes comprise:
s1031: obtaining all frame taking images of all digital collections of a seller, summing R components, G components and B components at all pixel point positions on each frame taking image, solving the average value of the R components, the G components and the B components at each pixel point position on each frame taking image, and obtaining the gray value at each pixel point position on each frame taking image;
s1032: judging whether the gray value of each pixel point position on each frame taking image is larger than a preset gray critical value, setting the address element of the pixel point position corresponding to the gray value to be 1 when the gray value is larger than the preset gray critical value, and setting the address element of the pixel point position corresponding to the gray value to be 0 when the gray value is not larger than the preset gray critical value;
s1033: the method comprises the steps of obtaining address elements at all pixel positions on each frame taking image, sorting the address elements at all pixel positions on the frame taking image based on a preset sequence, obtaining a binary string of the frame taking image, and taking the obtained binary string of each frame taking image as an address code of a digital collection corresponding to each frame taking image.
In this embodiment, the R component is the pixel value on the red channel of the frame-taken image.
In this embodiment, the G component is a pixel value on the green channel of the frame-taken image.
In this embodiment, the B component is a pixel value on the blue channel of the frame-taken image.
In this embodiment, the gray value is the average value of the R component, the G component, and the B component of each pixel point position of the frame image.
In this embodiment, the preset gray critical value is a preset division critical value, for example, 149, etc., for distinguishing a gray value of 0 or 1 as an address element at a pixel position.
In this embodiment, the address element is a numerical representation at each pixel location determined from the gray value at the pixel location.
In this embodiment, the address elements of all pixel positions on the frame-taking image are ordered based on a preset sequence, which is that: and ordering address elements from left to right in the uppermost row of pixel points of the frame-taking image, ordering address elements from left to right in the second row of pixel points until the lowermost row of pixel points are ordered from left to right, ordering address elements in the first row being arranged at the forefront of the binary string, and ordering address elements in the second row being arranged at the rear of the binary string until the lowermost row of address elements are ordered.
The beneficial effects of the technology are as follows: the gray value of each pixel point position is obtained through processing the three channel pixel values at each pixel point position of the frame taking image, the address element of each pixel point in the frame taking image is determined based on threshold division of the gray value, and then the address code of the frame taking image is obtained, namely the address code of the digital collection of the seller is obtained more accurately through the gray value of each pixel point position, so that the buyer can conveniently access the digital collection subsequently.
Example 4: based on embodiment 1, NFT transaction method, S2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark constituent images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark constituent images of each digital collection, wherein the frame-taking images comprise:
s201: acquiring a frame-taking image corresponding to the digital collection of the seller, and setting the frame-taking image of the digital collection as a watermark composition image of the digital collection;
s202: all digital watermark images of each digital collection are obtained based on the watermark composition image of each digital collection.
The beneficial effects of the technology are as follows: the watermark formation image of the digital collection is obtained more quickly, time is saved for the subsequent acquisition of the digital watermark image, and all the digital watermark images of the digital collection are accurately obtained according to the watermark formation image of the digital collection.
Example 5: based on embodiment 4, the NFT transaction method, S202: obtaining all digital watermark images of each digital collection based on the watermark composition image of each digital collection, including:
acquiring address elements of all pixel points on an image formed by watermarks of each digital collection, and counting the number of pixel points with address elements of 1 at the pixel points and the number of pixel points with address elements of 0 at the pixel points;
taking the quotient nx/d1 of the product nx of the abscissa value x of each pixel point on the watermark formation image and the number n of the pixel points with the address element of 1 in the watermark formation image and the single digit d1 of the side length of the watermark formation image as a new abscissa value nx/d1 after the pixel replacement of the corresponding pixel point in the watermark formation image;
multiplying a value nm+1 obtained by adding 1 to the product of the number n of pixel points with the address element of 1 and the number m of pixel points with the address element of 0 in the watermark forming image with the ordinate value y of the pixel points on the watermark forming image to obtain a product (nm+1) y, and taking the quotient (nm+1) y/d2 of the product and the unit number d2 of the side length of the watermark forming image as a new ordinate value (nm+1) y/d2 after pixel replacement of the pixel points;
acquiring new abscissa values and new ordinate values of all pixel points of each watermark constituting image after pixel replacement, determining new pixel point positions { nx/d1, (nm+1) y/d2} based on the new abscissa values and the new ordinate values, deleting all new pixel point positions beyond a position range, setting gray values of the pixel point positions remaining except the new pixel point positions in the position range to be 0, acquiring a digital watermark image of each watermark constituting image, and continuously performing pixel replacement based on the latest acquired digital watermark image until the pixel replacement of the preset times is completed, thereby acquiring all digital watermark images of each digital stock.
In this embodiment, the position range is a range for reserving a new pixel position determined according to the size of each watermark constituting image, for example, the watermark constituting image includes a row a and b columns of pixels, and if a pixel having a new abscissa value nx/d1 greater than a or a new ordinate value (nm+1) y/d2 greater than b obtained by pixel replacement is required to be deleted, and the pixel position thereof is deleted, where the position range is the abscissa value a and the ordinate value b, and the size of the position range is the same as the size of the watermark constituting image.
In this embodiment, the preset number of times is a preset maximum number of pixel permutations, for example, 10 times.
The beneficial effects of the technology are as follows: and carrying out pixel replacement for a plurality of times according to all pixel points on the watermark composition image of the digital collection, so as to obtain a plurality of digital watermark images of the digital collection after each pixel replacement, namely realizing the primary encryption of the frame-taking image of the digital collection and the encryption generation of the watermark image specific to the frame-taking image of the digital collection.
Example 6: based on embodiment 1, the NFT transaction method performs watermark availability verification based on all digital watermark images and frame-taken images of each digital collection, and obtains all available watermark images of each digital collection, including:
Based on the gray value of each pixel point in the digital watermark image, calculating the available value of each digital watermark image:
；
wherein S is the available value of each digital watermark image, lg is a base 10 logarithmic function, m is the lateral side length of the digital watermark image or the frame-taking image, n is the longitudinal side length of the digital watermark image or the frame-taking image,in order to obtain the gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the frame image, +.>The gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the digital watermark image;
and comparing the available values of all the digital watermark images of each digital collection with a preset available value, and selecting the digital watermark image with the available value of each digital collection larger than the preset available value as all the available watermark images of each digital collection.
In this embodiment, the available value of the digital watermark image is a numerical value representing the confidentiality degree of the digital watermark image calculated based on the gradation value of each pixel in the digital watermark image, and a larger available value indicates a better confidentiality of the digital watermark image.
In this embodiment, the preset usable value is a preset demarcation value, for example, 2, for dividing the usable watermark image from the non-usable watermark image.
The beneficial effects of the technology are as follows: and calculating the available value of each digital watermark based on the gray values of all pixel points on the digital watermark image and the frame-taking image, and screening the non-available watermark image by the available value of all digital watermark images of each digital collection to obtain all available watermark images of each digital collection more accurately.
Example 7: based on embodiment 1, the NFT transaction method selects an optimal watermark image for each digital collection based on all available watermark images for each digital collection, and obtains a number of pixel permutations of the optimal watermark image, including:
and acquiring all available watermark images of each digital collection, taking the available watermark image corresponding to the maximum available value as the optimal watermark image corresponding to the digital collection, and acquiring the pixel replacement times of the optimal watermark image.
The beneficial effects of the technology are as follows: precisely selecting the best watermark image of each digital collection from all available watermark images of each digital collection, and obtaining the pixel replacement times of the best watermark image.
Example 8: based on embodiment 1, NFT transaction method, S4: the method comprises the steps of replacing a corresponding frame taking image by utilizing an optimal watermark image of each digital collection, obtaining an encrypted digital collection of a seller, receiving a purchase request of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase request, wherein the method comprises the following steps:
S401: replacing the corresponding frame-taking image by utilizing the optimal watermark image of each digital collection, and taking the digital collection with the replaced frame-taking image as an encrypted digital collection of a seller (in the form of an image group or video containing a plurality of images);
s402: and acquiring the purchase application of the buyer in real time, and generating a digital collection transaction contract according to the digital collection information corresponding to the purchase application and the basic information of the buyer and the seller.
The beneficial effects of the technology are as follows: the method has the advantages that the encrypted digital collection of the seller is accurately obtained according to the optimal watermark image, the content protection of the digital collection is realized, the buying application of the buyer is received in real time, the digital collection transaction contract is generated in real time according to the buying application, and the transaction of the two parties is more convenient.
Example 9: based on embodiment 1, NFT transaction method, S5: when the contract performance is detected to be effective, the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller are automatically sent to the buyer background, and the method comprises the following steps:
and detecting the electronic signature of the automatically generated digital collection transaction contract in real time, and transmitting the pixel replacement times and the address codes of the optimal watermark image of the digital collection purchased by the buyer to the buyer background when the electronic signatures of the buyer and the seller detected in real time in the digital collection transaction contract are matched with the reserved electronic signature handwriting.
In this embodiment, the electronic signature detection is a handwriting comparison of the buyer's and seller's electronic signatures with the reserved electronic signatures based on existing handwriting detection techniques.
In this embodiment, the number of pixel substitutions and the address code are the number of pixel substitutions and the address code of the frame-taken image of the optimal watermark image of the digital collection (which is convenient for the buyer to watermark and access the digital collection).
The beneficial effects of the technology are as follows: and automatically detecting whether the contract is fulfilled or not, and automatically transmitting the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller to the background of the buyer when the contract is validated, so that the buyer can conveniently remove the watermark and access the digital collection.
Example 10: the present invention provides an NFT transaction system for performing any one of the NFT transaction methods of embodiments 1 to 9, referring to fig. 3, including:
the authentication module is used for carrying out real-name authentication on the buyer and the seller based on the basic information, carrying out frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images, and obtaining address codes of all the digital collections of the seller;
the image processing module is used for acquiring frame-taking images of all digital collections of the seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
The image screening module is used for carrying out watermark availability check on the basis of all the digital watermark images and the frame taking images of each digital collection, obtaining all the available watermark images of each digital collection, selecting the optimal watermark image of each digital collection on the basis of all the available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
the contract generation module is used for replacing the corresponding frame taking image by utilizing the optimal watermark image of each digital collection, obtaining the encrypted digital collection of the seller, receiving the purchase application of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase application;
and the sending module is used for automatically sending the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller to the background of the buyer when the contract fulfillment is detected to be effective.
The beneficial effects of the technology are as follows: the method comprises the steps of carrying out real-name authentication on a buyer and a seller to ensure transaction safety, carrying out frame taking processing on digital collections of the seller, accurately obtaining frame taking images of the digital collections, carrying out gray level analysis on the frame taking images, more accurately obtaining address codes of the digital collections of the seller, more rapidly obtaining watermark formation images of the digital collections, saving time for obtaining subsequent digital watermark images, accurately obtaining all digital watermark images of the digital collections according to the watermark formation images of the digital collections, carrying out watermark availability check on the basis of the digital watermark images and the frame taking images, accurately identifying all digital watermark images of each digital collection, screening out the optimal watermark images of each digital collection from all available watermark images of each digital collection, obtaining pixel replacement times of the optimal watermark images, accurately obtaining encrypted digital collections of the seller according to the optimal watermark images, realizing content protection of the digital collections, receiving purchase application of the buyer in real time, generating a digital collection contract according to the purchase application, automatically detecting whether the transaction is more convenient and fast and convenient, and automatically carrying out the best watermark replacement times of the digital collections to the best addresses of the sellers.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. A method of NFT transaction, comprising:
s1: performing real-name authentication on the buyer and the seller based on the basic information, performing frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, and performing gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller;
s2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
s3: carrying out watermark availability inspection on the basis of all digital watermark images and frame-taking images of each digital collection to obtain all available watermark images of each digital collection, selecting an optimal watermark image of each digital collection on the basis of all available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
S4: the optimal watermark image of each digital collection is utilized to replace the corresponding frame taking image, so that the encrypted digital collection of the seller is obtained, the buying application of the buyer is received in real time, and a digital collection transaction contract is generated in real time according to the buying application;
s5: when contract fulfillment is detected to be effective, automatically sending the pixel replacement times and address codes of the optimal watermark image of the digital collection sold by the seller to the background of the buyer;
wherein, S103: gray level analysis is carried out on all the frame-taking images to obtain address codes of all the digital collections of the seller, wherein the address codes comprise:
s1031: obtaining all frame taking images of all digital collections of a seller, summing R components, G components and B components at all pixel point positions on each frame taking image, solving the average value of the R components, the G components and the B components at each pixel point position on each frame taking image, and obtaining the gray value at each pixel point position on each frame taking image;
s1032: judging whether the gray value of each pixel point position on each frame taking image is larger than a preset gray critical value, setting the address element of the pixel point position corresponding to the gray value to be 1 when the gray value is larger than the preset gray critical value, and setting the address element of the pixel point position corresponding to the gray value to be 0 when the gray value is not larger than the preset gray critical value;
S1033: the method comprises the steps of obtaining address elements at all pixel point positions on each frame taking image, sorting the address elements at all pixel point positions on the frame taking image based on a preset sequence, obtaining a binary string of the frame taking image, and taking the obtained binary string of each frame taking image as an address code of a digital collection corresponding to each frame taking image;
wherein, S202: obtaining all digital watermark images of each digital collection based on the watermark composition image of each digital collection, including:
acquiring address elements of all pixel points on an image formed by watermarks of each digital collection, and counting the number of pixel points with address elements of 1 at the pixel points and the number of pixel points with address elements of 0 at the pixel points;
taking the quotient of the product of the abscissa value of each pixel point on the watermark formation image and the number of the pixel points with the address element of 1 in the watermark formation image and the single digit of the side length of the watermark formation image as a new abscissa value after the pixel replacement of the corresponding pixel point in the watermark formation image;
multiplying the product of the number of pixel points with the address element of 1 and the number of pixel points with the address element of 0 in the watermark constituting image by a value obtained by adding 1 to the ordinate value of the pixel points on the watermark constituting image to obtain a product, and taking the quotient of the product and the single digit of the side length of the watermark constituting image as a new ordinate value after pixel replacement of the pixel points;
Acquiring new abscissa values and new ordinate values of all pixel points of each watermark constituting image after pixel replacement, determining new pixel point positions based on the new abscissa values and the new ordinate values, deleting all new pixel point positions beyond a position range, setting gray values of the remaining pixel point positions except the new pixel point positions within the position range to be 0, acquiring digital watermark images of each watermark constituting image, and continuously performing pixel replacement based on the latest acquired digital watermark images until the pixel replacement of preset times is completed, thereby acquiring all the digital watermark images of each digital collection.
2. The NFT transaction method of claim 1, wherein S1: based on basic information, carrying out real-name authentication on a buyer and a seller, carrying out frame taking processing on the digital collection of the seller passing through the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images to obtain address codes of all the digital collections of the seller, and comprising the following steps:
s101: collecting basic information uploaded by a buyer and a seller, and performing real-name authentication on the buyer and the seller based on the collected basic information;
S102: acquiring all the digital collections of the seller passing the real-name authentication, and acquiring single-frame images of the digital collections of the seller at any time to serve as frame-taking images corresponding to the digital collections of the seller;
s103: and carrying out gray level analysis on all the frame-taking images to obtain address codes of all the digital collections of the seller.
3. The NFT transaction method of claim 1, wherein S2: acquiring frame-taking images of all digital collections of a seller, taking the frame-taking images of each digital collection as watermark constituent images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark constituent images of each digital collection, wherein the frame-taking images comprise:
s201: acquiring a frame-taking image corresponding to the digital collection of the seller, and setting the frame-taking image of the digital collection as a watermark composition image of the digital collection;
s202: all digital watermark images of each digital collection are obtained based on the watermark composition image of each digital collection.
4. The NFT transaction method of claim 1, wherein obtaining all available watermark images for each digital collection based on watermark availability verification of all digital watermark images and framing images for each digital collection, comprising:
Based on the gray value of each pixel point in the digital watermark image, calculating the available value of each digital watermark image:
;
wherein S is the available value of each digital watermark image, lg is a base 10 logarithmic function, m is the lateral side length of the digital watermark image or the frame-taking image, n is the longitudinal side length of the digital watermark image or the frame-taking image,in order to obtain the gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the frame image, +.>The gray value of the pixel point with the horizontal coordinate value of i and the vertical coordinate value of j on the digital watermark image;
and comparing the available values of all the digital watermark images of each digital collection with a preset available value, and selecting the digital watermark image with the available value of each digital collection larger than the preset available value as all the available watermark images of each digital collection.
5. The NFT transaction method of claim 1, wherein selecting the best watermark image for each digital collection based on all available watermark images for each digital collection and obtaining the number of pixel permutations of the best watermark image comprises:
and acquiring all available watermark images of each digital collection, taking the available watermark image corresponding to the maximum available value as the optimal watermark image corresponding to the digital collection, and acquiring the pixel replacement times of the optimal watermark image.
6. The NFT transaction method of claim 1, wherein S4: the method comprises the steps of replacing a corresponding frame taking image by utilizing an optimal watermark image of each digital collection, obtaining an encrypted digital collection of a seller, receiving a purchase request of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase request, wherein the method comprises the following steps:
s401: replacing the corresponding frame taking image by utilizing the optimal watermark image of each digital collection, and taking the digital collection with the replaced frame taking image as the encrypted digital collection of the seller;
s402: and acquiring the purchase application of the buyer in real time, and generating a digital collection transaction contract according to the digital collection information corresponding to the purchase application and the basic information of the buyer and the seller.
7. The NFT transaction method of claim 1, wherein S5: when the contract performance is detected to be effective, the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller are automatically sent to the buyer background, and the method comprises the following steps:
and detecting the electronic signature of the automatically generated digital collection transaction contract in real time, and transmitting the pixel replacement times and the address codes of the optimal watermark image of the digital collection purchased by the buyer to the buyer background when the electronic signatures of the buyer and the seller detected in real time in the digital collection transaction contract are matched with the reserved electronic signature handwriting.
8. An NFT transaction system for performing the NFT transaction method of any one of claims 1 to 7, comprising:
the authentication module is used for carrying out real-name authentication on the buyer and the seller based on the basic information, carrying out frame taking processing on the digital collection of the seller passing the real-name authentication to obtain frame taking images of the digital collection of the seller, carrying out gray level analysis on all the frame taking images, and obtaining address codes of all the digital collections of the seller;
the image processing module is used for acquiring frame-taking images of all digital collections of the seller, taking the frame-taking images of each digital collection as watermark formation images of each digital collection, and acquiring all digital watermark images of each digital collection based on the watermark formation images of each digital collection;
the image screening module is used for carrying out watermark availability check on the basis of all the digital watermark images and the frame taking images of each digital collection, obtaining all the available watermark images of each digital collection, selecting the optimal watermark image of each digital collection on the basis of all the available watermark images of each digital collection, and obtaining the pixel replacement times of the optimal watermark image;
the contract generation module is used for replacing the corresponding frame taking image by utilizing the optimal watermark image of each digital collection, obtaining the encrypted digital collection of the seller, receiving the purchase application of the buyer in real time, and generating a digital collection transaction contract in real time according to the purchase application;
And the sending module is used for automatically sending the pixel replacement times and the address codes of the optimal watermark image of the digital collection sold by the seller to the background of the buyer when the contract fulfillment is detected to be effective.
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