Partitioning Compressed Satellite Image Data for Random Access
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Solution Overview
Problem
Conventional satellite image processing methods require storing high-resolution images in uncompressed form, leading to high storage costs and inability to improve image quality with new compensation algorithms, as well as long waiting times for users due to sequential decompression and calibration processes, and lack of identifiers for random access in wavelet-based compression methods.
Innovation Solution
The method involves generating index information with starting points and lengths of compressed satellite image segments using CCSDS recommendations, allowing for random access and storage of compressed data without decompression, enabling faster image delivery and reduced storage costs by referencing previous and next segments for decompression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If satellite image data is stored in uncompressed form, then image quality is preserved, but storage costs and computing resources increase significantly
Solution Approach 1:
The patent divides the satellite image data into independently decompressible segments by inserting synchronization markers at regular intervals within compressed blocks. This segmentation allows the system to store compressed data while enabling random access to specific image regions without decompressing entire images, thus reducing storage costs while preserving image quality where needed.
Solution Approach 2:
The patent performs compression and segmentation preprocessing during data reception, organizing compressed image data into standardized blocks with embedded synchronization markers before storage. This preliminary organization enables efficient random access and selective decompression later, avoiding the need to store full uncompressed images while maintaining the capability to retrieve high-quality images when required.
2Manufacturing precision
If wavelet-based compression is applied, then image quality improves at same compression ratio, but random access to compressed segments becomes impossible
Solution Approach 1:
The patent inserts synchronization markers at regular intervals within compressed wavelet blocks, creating independently accessible segments. Each segment contains a complete wavelet coefficient set bounded by markers, allowing random access to specific image regions without requiring decomposition of the entire compressed image stream, thus restoring ease of operation while maintaining wavelet-based image quality.
Solution Approach 2:
The synchronization markers serve as intermediaries that delimit compressed segments and enable the system to identify segment boundaries without full decompression. These markers act as reference points that facilitate random access to specific image portions while preserving the wavelet compression structure, bridging the gap between compression efficiency and access flexibility.
3Ease of operation
If images are decompressed and calibrated before storage, then usable images are available, but processing time and computing resources increase
Solution Approach 1:
The patent enables partial decompression of only the specific image segments required by users rather than decompressing entire images. Users can retrieve and process only the necessary portions of satellite images at compressed quality, performing calibration and correction only on the selected segments, thus significantly reducing processing time and computing resources while maintaining usability for the required regions.
Solution Approach 2:
The system allows users to perform selective decompression and calibration on-demand for specific image segments rather than requiring pre-processing of entire images. This self-service approach enables users to decompress and calibrate only the portions of images they need, reducing overall processing time and allowing flexible, efficient image utilization without unnecessary computation on unused data.
4Productivity
If compressed segments lack identifiers, then compression efficiency is maintained, but error handling and segment identification become impossible
Solution Approach 1:
The patent extracts and inserts synchronization markers as distinct identifiers within the compressed data stream at regular intervals. These markers are embedded within the compressed segments without significantly increasing overall data size, enabling the system to identify segment boundaries and handle errors in specific segments while maintaining compression efficiency for the actual image data portions.
Data Source
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AI summary
Disclosed an apparatus and method of partitioning compressed satellite image, and more specifically, the present invention relates to a technique for forming index information on the compressed satellite image using the starting point and the length of a compressed section so as to randomly access each compressed section in the wavelet-based compressed satellite image recommended through CCSDS. The present invention minimizes costs for long-term storage of the satellite image data by immediately indexing, partitioning, and storing the compressed satellite data in a storage without recovering the compressed satellite data, rapidly provides high-quality satellite images for users by minimizing information loss while recovering the compressed image, and thereby being effective for being able to reduce computing resources needed to recover the compressed image data.