Beam Profile Camera 8-Bit Conversion With Non-Linear Grey Values
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Solution Overview
Problem
Existing methods for beam profile analysis in 3D imaging and material detection suffer from loss in signal quality, resolution, and dynamic range during image data compression, particularly when transitioning from 10-bit to 8-bit data volumes.
Innovation Solution
A method involving a camera with a matrix of optical sensors that applies a non-linear grey value transformation to compress reflection images from a first bit depth to a second bit depth, while preserving signal integrity through evaluation and analysis of beam profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image compression is applied to reduce data volume from 10-bit to 8-bit, then storage requirements and processing time are reduced, but signal quality, resolution, and dynamic range are lost
Solution Approach 1:
The patent applies non-linear grey value transformation that changes the parameter representation of pixel values. By transforming the grey values using a non-linear function, the system compresses data from 10-bit to 8-bit while preserving signal quality. This parameter transformation allows the compressed data to maintain the necessary dynamic range and contrast information for beam profile analysis.
Solution Approach 2:
The system performs preliminary actions by storing lookup tables with pre-calculated non-linear transformation values. These lookup tables are prepared in advance and stored in memory, allowing the actual image compression to proceed quickly by simply looking up and applying pre-computed values rather than performing complex calculations in real-time.
2Quantity of substance
If known compression methods are used to reduce data volume, then storage and transmission requirements are reduced, but measurement precision and reliability are compromised
Solution Approach 1:
The patent uses non-linear grey value transformation to change how pixel intensity values are represented. This parameter transformation compresses the data volume while maintaining the reliability of beam profile analysis measurements. The non-linear transformation preserves the relative relationships between different intensity levels, which are critical for accurate depth and material detection.
Solution Approach 2:
The system incorporates feedback mechanisms where the evaluation device analyzes beam profiles from the compressed images and can adjust processing parameters accordingly. This feedback loop ensures that measurement reliability is maintained even with compressed data by adapting to the specific characteristics of the compressed image data.
3Loss of time
If standard compression algorithms are applied, then processing time is reduced, but contrast and dynamic range of the image are degraded
Solution Approach 1:
The patent applies non-linear grey value transformation that specifically addresses the contrast and dynamic range issue. By transforming grey values through a non-linear function, the system maintains contrast information even at lower bit depths. The transformation preserves the dynamic range necessary for beam profile analysis while reducing processing time compared to maintaining full 10-bit data.
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
The method achieves reliable 3D imaging and material detection with reduced technical resources, time, and cost by minimizing loss in signal range, resolution, and contrast during image compression.
Implementation Method 1
Each optical sensor is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by a reflection light beam propagating from the object to the camera
Data Source
AI summary
Described herein is a method for beam profile analysis using at least one camera. The method includes:a) at least one data acquisition step;b) at least one image compression step; andc) at least one evaluation step.