WiMi Hologram Cloud a leading global Hologram Augmented Reality (AR) Technology provider announced that it had developed a distributed image storage protocol (DISP), which effectively saves the blockchain storage space and reduces computing costs with the help of the Inter Planetary File System (IPFS).
The distributed pool blockchain protocol can divide the stored data into multiple small blocks and distribute these small blocks on different nodes to achieve distributed storage and backup. Also, the protocol can use blockchain technology to ensure the security and trustworthiness of the data, making the stored image data less susceptible to tampering or loss. However, since image data is usually large, dividing it into multiple small blocks to be stored on the blockchain may lead to inefficient storage and transmission.
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WiMi proposes a blockchain-distributed storage protocol based on a pooling algorithm and inverse process. WiMi combines IPFS protocol to store extensive image data and uses distributed pool blockchain protocol to manage and verify the data blocks stored in IPFS. The IPFS protocol can divide image data into small blocks and keep them on different nodes in the network using a distributed approach for efficient storage and transmission. And the distributed pool blockchain protocol can guarantee the data integrity and trustworthiness by hashing and blockchain storage of the data blocks stored in IPFS.
WiMi’s DISP protocol is designed to be optional and non-mandatory, and users who do not accept the DISP protocol can still use the traditional, fully redundant storage approach. Users who accept the protocol can enjoy the benefits of space savings without compromising security performance. The DISP protocol changes fully redundant storage relative to individuals to community-level full redundancy, where data stored in each community node is not redundant. In DISP, distributed storage enhances the performance of data security by ensuring that not all data is lost in the event of an attack or failure of a few nodes. The distributed pooling algorithm reduces data redundancy in distributed storage and saves storage space significantly.
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In the pre-processing stage, before implementing the distributed pooling algorithm, WiMi’s DISP protocol divides the original image into several pooling regions based on the shape of the pooling kernel, forming a set of pooling areas to be processed. The image can then be divided into several parts and stored in multiple nodes by the distributed pooling algorithm.
The addresses accepting the protocol will be collected to form different communities, and the number of nodes in each community is determined by the number of pooled images obtained after the decomposition algorithm. At a certain compression ratio, each piece of data is still identifiable and can be losslessly recovered by compressed sensing or super-resolution representation. If all data fragments in the community are collected, then the algorithmic inverse operation can recover the original data losslessly. Each node saves data different from the data of other nodes in the community, which would otherwise be classified as another community. Each node in the community can see the complete picture of the data. If the corresponding data fragments stored by each node in the community are collected together, the source data can be recovered losslessly after invoking the evidence phase.
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