Image Processing Filter Acquisition Using Gain Tables
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Solution Overview
Problem
Existing image processing techniques face challenges in accurately performing image filtering due to variations in optical systems caused by manufacturing errors, requiring complex computations and large storage capacities to account for individual differences, which is impractical for real-world applications.
Innovation Solution
An image processing apparatus that performs multiple filtering processes with gain adjustments based on the specific optical characteristics of an individual optical system, using a gain table and least squares method to simplify computations and reduce data requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If filters are designed based on individual optical characteristics to achieve high-accuracy image restoration, then manufacturing precision is improved, but device complexity increases due to the need to acquire and process individual optical data
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing filter coefficients for multiple optical characteristics in a lookup table before actual image processing occurs. During runtime, the system simply retrieves the appropriate pre-computed filters based on measured optical characteristics, avoiding complex real-time calculations while maintaining high restoration accuracy.
Solution Approach 2:
The patent creates simplified copies of complex optical filtering operations by representing filters as coefficient sets that can be stored and retrieved. Instead of performing complex optical calculations during image processing, the system uses copied filter data from pre-computed models that replicate the effect of individualized optical filtering.
2Measurement precision
If complex filtering processes are performed to account for individual optical differences, then measurement precision is improved, but productivity decreases due to increased computational requirements
Solution Approach 1:
The patent performs computationally intensive filter calculations in advance and stores the results. During actual image processing, the system only needs to measure optical characteristics and retrieve pre-computed filters, dramatically reducing processing time while maintaining the precision benefits of individualized optical filtering.
Solution Approach 2:
The patent uses lightweight filter coefficient representations that can be quickly retrieved and applied. Instead of performing heavy computational operations during image processing, the system uses simple coefficient-based filters that require minimal processing power, enabling fast application while maintaining accuracy.
3Manufacturing precision
If individual optical characteristics are measured and processed to create customized filters, then manufacturing precision is improved, but loss of time increases due to the measurement and calculation process
Solution Approach 1:
The patent pre-computes filters for multiple possible optical characteristics and stores them in a lookup table. When processing an individual optical system, the system measures the characteristics and quickly retrieves the matching pre-computed filter, avoiding time-consuming real-time calculations while maintaining customization accuracy.
Solution Approach 2:
The patent prepares multiple pre-computed filter options in advance that can accommodate variations in individual optical characteristics. This cushioning approach ensures that regardless of the specific measurements taken, a suitable pre-computed filter is already available for quick retrieval and application.
Data Source
AI summary
There are provided an image processing apparatus, an image processing method, and a program capable of realizing a desired image filtering process specified based on an optical characteristic of an individual optical system with high accuracy using a simple computation process. Further, there are provided a filter acquisition apparatus, a filter acquisition method, program, and a recording medium capable of acquiring a filter which is suitably usable in an image filtering process. A filtering process unit 41 (image processing apparatus 35) applies a filter to processing target data to acquire filter application process data, applies a gain to the filter application process data to acquire gain application process data, in each filtering process. In each filtering process, the gain applied to the filter application process data is acquired based on a target frequency characteristic of the image filtering process.