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WiMi Proposed Cloud Computing-based Holographic Data Compression Algorithm
BEIJING, Sept. 22, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR")
About this update from Wimi Hologram Cloud Inc.
[{"type":"text","content":"BEIJING, Sept. 22, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that a cloud computing-based holographic data compression algorithm is proposed for compressing data in a cloud computing environment. The original data is converted into holographic data using holographic technology and the holographic data is compressed using the compression algorithm to reduce the storage space and transmission bandwidth requirements. This algorithm can provide efficient data compression and transmission services in a cloud computing environment, and the compressed data can be transmitted to the client faster to improve the data transmission efficiency.\n\nThe process of the cloud computing-based holographic data compression algorithm studied by WiMi includes the steps of data preparation, holographic data conversion, data compression, data transmission, data decompression and data processing and application. These steps combine the advantages of holographic technology, data compression algorithm and cloud computing platform, which can realize efficient holographic data compression and transmission.\nThe raw data to be compressed can be various types of data such as images, videos, medical images, etc. The data can be uploaded from the local device to the cloud computing platform or can be generated directly in the cloud computing environment. Among them, converting the original data into holographic data is the key step of the holographic data compression algorithm, and the holographic data is compressed in order to reduce the storage space of the data and the transmission bandwidth demand, and then the compressed holographic data can be transmitted through the cloud computing platform. The cloud computing platform provides a high-speed network transmission service, which can quickly transmit the data to the client. After the client receives the compressed holographic data, it needs to decompress the data, and the decompression algorithm can be inversely operated according to the algorithm used in compression to restore the data to the original holographic data. The decompressed holographic data can be subjected to various processes and applications. This can include a display of images or videos, analysis of m...