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    WiMi Hologram Cloud Develops CNN-based Image Fusion Algorithm System to Promote Innovation

    3/27/23 8:00:00 AM ET
    $WIMI
    Computer Software: Prepackaged Software
    Technology
    Get the next $WIMI alert in real time by email

    BEIJING, March 27, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ:WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of a convolutional neural network-based image fusion algorithm system. The application of convolutional neural networks to image fusion has obvious advantages: it can improve the feature extraction and assignment aspects of image fusion and enhance the quality of fused images.

    Image fusion is the processing and fusion of two or more images acquired by different sensors. Image fusion can achieve complementary information between images and maximize image quality to generate content-rich and more visually perceptive fused images and then complete the analysis and processing of information. CNN is a typical deep-learning model. It learns feature-representation mechanisms at different levels of abstraction from signal or image data. CNN extracts features of the input image by learning filters to obtain other feature maps at each level, and each unit or coefficient in the feature map is called a neuron. Different computational methods, convolution, activation function, and pooling, are generally used to connect the feature maps between adjacent levels.

    The key advantage of WiMi's CNN-based image fusion algorithm is that it maximizes the extraction of useful information from the source image and fuses it into the resultant image to obtain a high-quality image.

    The system first acquires the images to be fused and preprocesses them. Then the preprocessed images are input to the convolutional neural network for training. The system extracts its image fusion features and then uses the optimal thresholding method to segment the fusion features and fuse different regions of different images accordingly to get the final image fusion results.

    A complete CNN is a multi-layer structure that includes an input layer, a pooling layer, a fully connected layer, and a convolutional layer. The convolutional layer is the most critical part, which contains multiple neural network nodes to extract the features for image fusion. The pooling layer can downscale the image fusion features, obtain a new image fusion feature mapping set, and then iterate continuously through the weights for training and learning. Before performing optimal image fusion, the system will segment the image into different regions. And the image to be fused is divided into different regions by the optimal segmentation threshold, and the different regions are fused to output the image fusion result.

    This system's processed images have significantly higher clarity and brightness, improved image signal-to-noise ratio, and higher image quality, which can obtain better image visual effects. The system has obvious advantages over traditional image fusion technology.

    CNN-based image fusion algorithm has become a fundamental image analysis and computer vision technology. With the continuous improvement of hardware level and related research, its application in various fields will continue to develop in depth. WiMi's algorithm has a wide range of application prospects in the target recognition, intelligent robotics, medical image processing, industrial Internet, etc.

    About WIMI Hologram Cloud

    WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.

    Safe Harbor Statements

    This press release contains "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company's strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company's goals and strategies; the Company's future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company's expectations regarding demand for and market acceptance of its products and services.

    Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement, except as required under applicable laws.

    Cision View original content:https://www.prnewswire.com/news-releases/wimi-hologram-cloud-develops-cnn-based-image-fusion-algorithm-system-to-promote-innovation-301781822.html

    SOURCE WiMi Hologram Cloud Inc.

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