Spectral Estimation Parameter Generation for Multiband Cameras

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Solution Overview

Problem

Existing methods for estimating the spectrum of spectral reflectivity from multiband images require a large number of bands for accurate results, which may not be optimal for all multiband cameras or subjects.

Innovation Solution

A parameter generation device that adjusts wavelength bands using a tunable filter and a multiband camera, optimizing spectral estimation parameters through an evaluation function to achieve high-accuracy reflectivity estimation with fewer bands by varying band specification data to match target values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a large number of bands are used in multiband images, then the estimation accuracy of spectral reflectivity is improved, but the device complexity and data processing burden increase

Engineering Contradiction:

Improveestimation accuracy of spectral reflectivityVSAvoidnumber of bands

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent optimizes the wavelength bands by adjusting parameters such as central wavelength and bandwidth through an evaluation function that correlates spectral distribution with camera output signals. This allows achieving high estimation accuracy with fewer bands by finding the optimal parameter combination rather than using a fixed large number of bands

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent employs an evaluation function that provides feedback between the spectral distribution of color charts and the camera output signals. By iteratively adjusting band specification data and evaluating the correlation with spectral estimation values, the system optimizes the wavelength bands to achieve accurate spectral reflectivity estimation with minimal bands

Inventive Principle:

Principle #23Feedback

2Ease of operation

If fixed wavelength bands are set in advance, then the measurement process is simplified, but the bands may not be optimal for different multiband cameras or subjects

Engineering Contradiction:

Improvemeasurement process simplicityVSAvoidoptimality for different cameras and subjects

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent transitions from fixed wavelength bands to dynamic band specification data that can be adjusted based on the multiband camera characteristics and subject properties. The evaluation function enables iterative optimization of wavelength bands to achieve optimality for specific camera-subject combinations while maintaining a streamlined measurement process

Inventive Principle:

Principle #15Dynamics

3Productivity

If fewer bands are used in multiband images, then the device complexity and processing time are reduced, but the estimation accuracy of spectral reflectivity deteriorates

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidestimation accuracy of spectral reflectivity

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent optimizes the wavelength band parameters (central wavelength and bandwidth) through systematic adjustment and evaluation. By finding the optimal parameter combination that maximizes the correlation between spectral distribution and camera output, the system achieves high estimation accuracy with a reduced number of bands, thus improving processing efficiency without sacrificing precision

Inventive Principle:

Principle #35Parameter changes

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

Enables highly accurate estimation of spectral reflectivity from multiband images with fewer bands, optimizing both the spectral estimation parameter and the camera's wavelength settings for improved accuracy and efficiency.

Implementation Method 1

driving a wavelength tunable filter

Methodology Applied

Scientific EffectOptical filtering: Filter (optical)

Implementation Method 2

spectral sensitivity of the multiband camera in the plurality of wavelength bands

Methodology Applied

Scientific EffectPhotoelectric conversion: Photoelectric Effect

Data Source

PatentUS8587783B2Spectral estimation parameter generation device, method of generating spectral estimation parameter, and spectral estimation device

Publication Date: 2013.11.19 SEIKO EPSON CORP

AI summary

A device measures a spectral distribution with respect to each of a plurality of color charts, sets default values to band specification data, and computes a camera output signal based on spectral sensitivity of the multiband camera and spectral feature of light from each of the plurality of charts. The device computes a candidate value of a spectral estimation parameter from the measured spectral distribution of each color chart and the computed camera output signal. The device successively varies the band specification data from the default values to make an evaluation function approach a target value, determines a spectral estimation parameter corresponding to the band specification data when the evaluation function reaches the target value. The evaluation function is defined to correlate the measured spectral distribution of each color chart to a spectral estimation value computed from the candidate value of the spectral estimation parameter and the camera output signal.