Medical Endoscope Wireless RAW Image Transmission
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Solution Overview
Problem
Medical endoscope devices face challenges in transmitting high-resolution image data with low latency, leading to increased power consumption and heat generation, which hinders miniaturization and efficient wireless communication during medical procedures.
Innovation Solution
A medical endoscope device and system that compression-encodes RAW image data and transmits it wirelessly, using a method that reduces data amounts by encoding in smaller units, such as slices, and processes demosaicing on the reception side, thereby minimizing latency and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution image data is transmitted without compression, then image quality is maintained, but transmission latency increases and power consumption rises
Solution Approach 1:
The patent divides the image data into multiple slices for parallel processing and transmission. Each slice can be independently compressed and transmitted, reducing overall transmission latency while maintaining image quality through selective reconstruction of critical regions.
Solution Approach 2:
The patent dynamically adjusts compression parameters based on image content and transmission conditions. By changing compression ratios, slice sizes, and priority levels according to real-time requirements, the system optimizes the balance between image quality and transmission latency.
2Productivity
If compression encoding is applied to reduce data amount, then transmission efficiency improves, but processing complexity increases
Solution Approach 1:
The patent implements slice-based compression where different regions of the image are processed independently with appropriate compression levels. This segmentation reduces processing complexity by allowing parallel computation and focusing computational resources on critical areas rather than uniformly processing the entire image.
Solution Approach 2:
The patent applies compression selectively to different image regions based on their importance. Critical regions receive lower compression (or none) while less important areas undergo higher compression, achieving efficient transmission without uniformly increasing processing complexity across the entire image.
3Use of energy by moving object
If data amount is reduced through compression, then power consumption decreases, but image quality may deteriorate
Solution Approach 1:
The patent dynamically adjusts compression parameters based on transmission conditions and image content. When power consumption needs reduction, compression ratios are increased for non-critical regions while maintaining quality in important areas, achieving energy efficiency without significant quality loss.
Solution Approach 2:
The patent applies different quality levels to different regions of the image. Critical regions maintain high quality with minimal compression while other regions use higher compression ratios, optimizing the balance between power consumption and overall image quality perception.
4Volume of moving object
If wireless transmission is implemented for miniaturization, then device size is reduced, but transmission reliability decreases
Solution Approach 1:
The patent divides image data into slices with different priority levels for transmission. Critical slices are transmitted with higher reliability protocols and retransmission mechanisms, while less critical data uses simpler transmission modes, maintaining overall system reliability while enabling wireless miniaturization.
Data Source
AI summary
There is provided a medical endoscope device including: an encoding processing unit configured to compression-encode RAW image data of a medical captured image of an observation target captured by an imaging device that is inserted into a body of a patient and captures an image of an inside of the body; and a transmission unit configured to wirelessly transmit the compression-encoded RAW image data.