Doppler Radar Image Compression via Radial Velocity Encoding
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Solution Overview
Problem
High-resolution imaging radar systems generate large amounts of data due to the inclusion of radial velocity information in each pixel, making image processing, storage, and transmission inefficient compared to conventional radar and camera systems.
Innovation Solution
A method and system that compresses sequences of images by utilizing the radial velocity information of pixels, where an encoder identifies corresponding pixels in other images and replaces intensity information with vectors and intensity differences, reducing data size through predictive and entropy encoding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution imaging radar includes radial velocity information in each pixel, then measurement precision is improved, but data size increases
Solution Approach 1:
The encoder performs preliminary actions by identifying corresponding pixels across multiple images and predicting their positions using radial velocity information before actual compression. This preliminary identification of pixel correspondences and motion compensation enables subsequent efficient data reduction without losing velocity measurement precision
Solution Approach 2:
The invention changes the representation parameters by transitioning from storing complete intensity information for each pixel to storing only intensity differences and motion vectors. This parameter transformation maintains the essential radial velocity information while significantly reducing the quantity of data that needs to be stored and transmitted
2Productivity
If data size of image sequences is reduced through compression, then productivity is improved, but loss of information may occur
Solution Approach 1:
The compression system uses feedback mechanisms where the encoder analyzes radial velocity information from multiple images to identify corresponding pixels and predict their positions. This feedback loop ensures that only redundant information is removed while preserving essential image quality and velocity data through intelligent motion compensation and differential encoding
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution significantly reduces the data size of image sequences, enabling faster processing and storage while maintaining image quality, facilitating efficient transmission and analysis of high-resolution imaging radar data.
Implementation Method 1
Each pixel includes radial velocity information
Data Source
AI summary
A method for processing a sequence of images is provided. The method receives a sequence of images. Each image includes a plurality of pixels. The pixels include radial velocity information. The method compresses the sequence of images based on the radial velocity information. The method stores the compressed sequence of images in a storage device.