Parallel Image Compression Circuits for High-Speed Processing
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Solution Overview
Problem
Current image processing technologies face challenges in achieving high-speed image compression, leading to longer processing times and increased costs due to the need for dedicated image sensors and inefficient scaling factor prediction and updating.
Innovation Solution
An image processing device with multiple image compression processing circuits and a compression control part that performs parallel processing and adjusts compression conditions to optimize compression data alignment and storage, allowing for faster image compression and reduced costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a single image compression processing circuit is used, then device complexity is reduced, but processing speed becomes insufficient because compression processing is heavier than interpolation processing
Solution Approach 1:
The image compression processing is divided into multiple independent compression processing circuits (first compression processing circuit and second compression processing circuit). Each circuit processes different image data in parallel, thereby increasing overall processing speed while keeping each individual circuit relatively simple in structure
Solution Approach 2:
Multiple compression processing circuits are combined to work simultaneously on different image data. The circuits are merged into a unified system that processes multiple frames or different processing units of images in parallel, achieving high-speed compression without requiring overly complex individual circuits
2Speed
If dedicated image sensors are used for parallel processing, then processing speed is improved, but device cost increases
Solution Approach 1:
A single image sensor is designed to output multiple types of signals (first signal and second signal) that can be used for different processing purposes. This multi-functional approach eliminates the need for separate dedicated sensors for each processing path, reducing device cost while maintaining parallel processing capability
Solution Approach 2:
The image sensor's output parameters are changed to provide multiple signal types simultaneously. By adjusting the sensor's operational parameters and signal output characteristics, the system achieves parallel processing functionality without adding expensive dedicated sensors
3Ease of operation
If fixed length compression is used, then remaining frame count can be easily determined, but processing time increases due to heavier compression processing
Solution Approach 1:
The system performs partial compression processing on multiple images simultaneously using multiple compression circuits. By processing only portions of images in parallel rather than completing full compression of one image sequentially, the system reduces overall processing time while still providing sufficient compression data to determine remaining frame counts
Data Source
AI summary
An image processing device includes an interpolation color processing circuit receiving images of continuous frames to perform interpolation and color processing thereon, a storage part cyclically storing a plurality of frames of images being processed and having been processed by the interpolation color processing circuit, a plurality of image compression processing circuits reading the images of frames processed by the interpolation color processing circuit to perform image compression processing on the images and being cyclically started up for each of frames to perform parallel processing, and a compression data storage part storing compression data processed by the image compression processing circuit. The image processing device can solve a problem of a prior art in that long processing time is required because image compression processing is heavier than interpolation processing and color processing.