Endoscope Imaging With Variable Attenuation for HDR Clarity
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Solution Overview
Problem
Endoscopic imaging in body cavities is challenged by underexposed and overexposed regions due to varying light intensities, exposure lengths, and aperture sizes, obscuring important features.
Innovation Solution
A system that employs multiple exposures with varying light intensities, exposure lengths, and aperture sizes, followed by high dynamic range (HDR) image processing to create a low dynamic range (LDR) image, using techniques like tone mapping to enhance image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple exposures with varying light intensities are used, then image clarity is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic control of exposure parameters by capturing multiple images at different exposure levels and selectively combining them. The system dynamically adjusts between underexposed, normally exposed, and overexposed captures to optimize image quality for different regions of the body cavity, resolving the contradiction between image clarity and system complexity through adaptive processing.
Solution Approach 2:
The patent changes exposure parameters (light intensity, exposure duration, aperture size) across multiple captures to address different lighting conditions within the body cavity. By varying these parameters and combining the results, the system achieves superior image clarity without requiring a single complex imaging device, thus resolving the technical contradiction.
2Loss of information
If high dynamic range imaging is implemented, then detail visibility is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary capture of multiple exposure-level images before final processing. By having all exposure variations already captured and stored, the system can perform HDR processing without time-critical constraints during the actual imaging moment, thus reducing perceived processing time while maintaining detail visibility.
Solution Approach 2:
The patent applies partial processing by selectively combining only the necessary exposure levels for different regions of the image. Rather than processing all captured images equally, the system performs partial HDR processing on specific areas requiring enhancement, thereby reducing overall processing time while maintaining detail visibility where most needed.
Data Source
AI summary
A method of obtaining a clear endoscopic image includes emitting light from an endoscope into a body cavity; receiving light reflected from the body cavity at a variable-attenuator, the variable-attenuator comprising a plurality of light attenuating elements that are aligned with a plurality of pixels of at least one the image sensor; controlling the variable-attenuator to attenuate light passing through the plurality of light attenuating elements and into the plurality of pixels of the at least one image sensor; capturing an image with the plurality of pixels of the at least one image sensor.


