Method for compressing high spectrum image
A technology of hyperspectral image and compression method, which is applied in the field of hyperspectral image compression, and can solve problems such as loss of image information.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach 1
[0007] Embodiment 1: The technical solution of this embodiment is as follows: a hyperspectral image compression method, which performs hierarchical compression processing on the image to be compressed, lossless or near lossless compression of the spatial information of interest and spectral information of interest, and other information A compression greater than a selected compression ratio for the spatial information of interest and the spectral information of interest is performed.
specific Embodiment approach 2
[0008] Embodiment 2: Compared with Embodiment 1, this embodiment is characterized in that: during the compression process of the spatial information of interest, a spatial region is selected through a template, and the region will be given priority coding during the compression process, thereby ensuring that the region The reconstruction quality of the image.
[0009] Hyperspectral images are different from ordinary images. They are not only for human vision, but also for some special applications. Therefore, the protection of target information is particularly important.
[0010] For hyperspectral image applications, not all the information contained in the entire image is equally important, and often only the information in some areas is important. For example, some specific targets need to be protected, which is the so-called region of interest ROI. In the process of compressing hyperspectral images, some targets can be selected artificially or automatically as the region ...
specific Embodiment approach 3
[0011] Specific embodiment three: the characteristics of this embodiment compared with embodiment one are: the steps of compressing the spectral information of the spectral band of interest are as follows: 1. Select the spectral band of interest to the hyperspectral image; simultaneously determine the reference spectral band and Non-reference spectral band; 2. Use the reference spectral band to perform in-band compression on the selected spectral band of interest to generate an image bit stream; meanwhile use the non-reference spectral band to perform in-band reconstruction on the selected spectral band of interest; 3. Input the information that has been reconstructed in the band in step 2 into the predictor to calculate the prediction coefficient; 4. Use the prediction coefficient obtained in step 3 and the non-reference band to calculate the prediction error; 5. Use the prediction error obtained in step 4 to calculate the non- The reference spectral band is compressed in-band...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com