Endoscope Noise Reduction via Device-Specific EEPROM Data
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Solution Overview
Problem
Conventional endoscope systems require manual adjustment of noise reduction strength based on the image pickup device's characteristics, which can be inefficient and may not always provide optimal noise reduction.
Innovation Solution
An endoscope system with a data holding portion in the endoscope to store device-specific data, a signal processor to acquire and set noise reduction processing, and a noise reduction processing portion to execute noise reduction based on the stored settings, ensuring optimal noise reduction according to the image pickup device's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of noise reduction strength is used, then flexibility in adjusting to different image pickup devices is achieved, but operation complexity and time consumption increase
Solution Approach 1:
The system automatically identifies the image pickup device type and selects appropriate noise reduction parameters without requiring manual intervention. The video processor autonomously adjusts noise reduction strength based on device characteristics stored in the system, eliminating the need for operators to manually configure settings for different devices.
Solution Approach 2:
Device-specific noise reduction parameters are pre-configured and stored in the system memory during manufacturing or initial setup. When an image pickup device is connected, the system retrieves the corresponding pre-stored parameters and applies them automatically, avoiding the need for real-time manual adjustment.
2Manufacturing precision
If noise reduction processing is always executed, then image quality is improved, but processing time and computational load increase
Solution Approach 1:
The system applies noise reduction processing selectively based on the identified image pickup device type and current imaging conditions. Rather than always executing full noise reduction, the system adjusts the degree of processing applied, using stronger noise reduction only when necessary for specific device types or conditions, thereby reducing overall processing time while maintaining image quality.
Data Source
AI summary
An endoscope system includes: an endoscope including an image pickup device; an EEPROM provided in the endoscope, and configured to hold data according to a kind of the image pickup device; a video processor to which the endoscope is attachably and detachably connected; a control portion provided in the video processor, and configured to acquire the data from the EEPROM when the endoscope is connected to the video processor and set processing content of noise reduction processing, based on the acquired data; and an NR processing circuit provided in the video processor, and configured to execute the noise reduction processing on a video signal outputted from the image pickup device, based on setting of the control portion. The control portion sets execution/non-execution of the noise reduction processing to the NR processing circuit, based on the acquired data.