Optical Scanning Image Distortion Correction via Multi-Pattern Feedback
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Solution Overview
Problem
Optical scanning image forming apparatuses face distortion issues due to variations in optical fiber properties and drive mechanism aging, leading to deviations in scanning patterns and resulting image distortions.
Innovation Solution
The apparatus provides multiple different light scanning patterns, compares data from these patterns to calculate distortion correction data, and uses this data to correct the scanning process, ensuring accurate image formation by aligning data sequences to minimize differences and correct for phase shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical fiber and drive mechanism are used for scanning, then scanning function is achieved, but aging and environmental changes cause resonance frequency and Q value variations leading to scanning pattern deviation
Solution Approach 1:
The patent employs feedback mechanisms where the actual scanning pattern is detected and compared with the intended pattern, and correction values are calculated and applied to compensate for deviations caused by aging and environmental changes, thereby maintaining reliable scanning performance
Solution Approach 2:
The patent changes operational parameters such as resonance frequency and driving conditions based on detected scanning pattern deviations, adjusting these parameters dynamically to compensate for optical fiber aging and environmental variations, maintaining stable scanning despite property changes
2Measurement precision
If position sensor devices or reference charts are used for distortion correction, then image distortion is corrected, but device complexity and measurement requirements increase
Solution Approach 1:
The patent enables the optical scanning system to perform self-diagnosis and self-correction by using its own scanning data to detect pattern deviations and calculate correction values, eliminating the need for external position sensors or reference charts and reducing system complexity
Solution Approach 2:
The patent introduces computational algorithms as intermediaries that process scanning data and generate correction values, serving as a software-based mediator that replaces complex hardware solutions like position sensor devices and reference chart systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively corrects image distortions caused by mechanical phase delays and environmental changes, reducing computational load and eliminating the need for external reference charts or position sensors, allowing for real-time distortion correction in use environments.
Implementation Method 1
an optical fiber being held in part with the tip part for emitting the illumination light being oscillatable
Implementation Method 2
an actuator is disposed in the vicinity of the supporting part, so as to vibrate the optical fiber, to thereby scan the detection light on the object
Implementation Method 3
a light detection section detecting detection light from the object
Data Source
AI summary
An optical scanning image forming apparatus includes: a light source section; an illumination scanning section; a light detection section; a calculation section calculating a drive waveform for providing a illumination light scanning pattern; and an image drawing section drawing an image, based on detection light detected by the light detection section and image construction coordinates, the calculation section providing different light scanning patterns to the illumination scanning section and calculating distortion correction data, based on comparison between data on the detection lights detected when scanned in the different scanning patterns. An optical scanning image forming method includes: providing different light scanning patterns to an illumination scanning section which scans the illumination light from a light source section to irradiate an object with the illumination light; and calculating distortion correction data, based on comparison between data on the detection light detected when scanned in the different scanning patterns.