Endoscope Image Compression Dynamic Parameter Adjustment
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Solution Overview
Problem
Endoscope systems face challenges in balancing image data compression to reduce power consumption while maintaining high image quality, as large compression ratios degrade image quality and can lead to unstable transmission and prolonged periods of no image display on monitors.
Innovation Solution
An endoscope apparatus with an image pickup device, storage, and processor that continuously adjusts compression parameters based on detected information quantity in the image data, determining whether the information quantity meets a threshold to decide on the display image, ensuring stable transmission and quality by using provisional compression parameters and updating compression settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large compression ratio is used to reduce data quantity, then wireless transmission stability improves and power consumption decreases, but image quality degrades
Solution Approach 1:
The patent implements dynamic adjustment of compression parameters based on real-time detection of information quantity in image data. The system continuously monitors scene complexity and adjusts compression ratios accordingly, using higher compression for simple scenes and lower compression for complex scenes, thereby maintaining transmission stability while preserving image quality when necessary
Solution Approach 2:
The system changes compression parameters dynamically based on detected information quantity thresholds. When information quantity exceeds a threshold, the system adjusts compression settings to balance data reduction with quality preservation, directly addressing the contradiction between compression efficiency and image quality
2Use of energy by moving object
If a large compression ratio is used to reduce data quantity, then power consumption decreases, but image quality degrades
Solution Approach 1:
The system dynamically adjusts compression parameters based on real-time detection of information quantity in image data. The system continuously monitors scene complexity and adjusts compression ratios accordingly, using higher compression for simple scenes and lower compression for complex scenes, thereby maintaining transmission stability while preserving image quality when necessary
Solution Approach 2:
The system changes compression parameters dynamically based on detected information quantity thresholds. When information quantity exceeds a threshold, the system adjusts compression settings to balance data reduction with quality preservation, directly addressing the contradiction between compression efficiency and image quality
3Reliability
If compression parameters are fixed to ensure stable transmission, then transmission reliability improves, but adaptability to different scene complexities decreases
Solution Approach 1:
The patent implements a feedback mechanism where the system detects information quantity in image data and uses this information to adjust compression parameters. The detection unit continuously monitors scene complexity and provides feedback to the compression control, enabling the system to adapt compression settings to match actual scene requirements while maintaining stable transmission
Solution Approach 2:
The system dynamically adjusts compression parameters based on real-time detection of information quantity in image data. The system continuously monitors scene complexity and adjusts compression ratios accordingly, using higher compression for simple scenes and lower compression for complex scenes, thereby maintaining transmission stability while preserving image quality when necessary
Data Source
AI summary
An endoscope apparatus includes a compression processing control unit configured to carry out a compression processing of compressing image data by using a compression parameter to generate compressed data, a monitor that is a display unit configured to display a display image corresponding to the image data, an information quantity detection unit configured to detect a quantity of information on an object contained in the image data, and a judgement unit configured to carry out a judgement processing of judging whether or not a judgement value corresponding to the quantity of information is smaller than a predetermined threshold. The image pickup of the object and the generation of the image data are continuously performed multiple times, and the judgement processing is carried out whenever the image data is generated. The compression parameter and the display image are determined based on a result of the judgement processing.


