Image Processing Apparatus Resolution Anisotropy Correction

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Solution Overview

Problem

Existing image processing techniques fail to effectively improve the anisotropy of resolution, which is reduced due to aperture vignetting and blurring, especially in radial directions of images taken with wide-angle lenses, leading to inconsistent image quality.

Innovation Solution

An image processing apparatus and method that analyze resolution in multiple directions and adjust weight coefficients for filter data to correct blurring by using an inverse filter with a rotation matrix, enhancing the anisotropy of resolution by prioritizing the direction with lower resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If filtering is performed using different filter data in accordance with position to meet changes in point spread function, then blurring caused by aperture vignetting is corrected, but the anisotropy of resolution in radial directions cannot be effectively improved

Engineering Contradiction:
Improveresolution correctionVSAvoidanisotropy of resolution
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by analyzing resolution characteristics in different directions (radial and tangential) at different positions in the image and applying direction-specific filter data. The system determines filter parameters separately for radial directions and tangential directions based on local resolution analysis, allowing each region and direction to receive optimized filtering treatment rather than applying a uniform filter across the entire image.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements dynamics by making the filter data adaptive and variable based on position and direction. The filter parameters are dynamically adjusted according to the analyzed resolution characteristics at each image position, allowing the filtering process to adapt to changing optical conditions across the image field rather than using a static, fixed filter.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If a uniform filter is applied across the entire image, then processing is simple, but resolution anisotropy in radial directions is not corrected

Engineering Contradiction:
Improvefiltering process simplicityVSAvoidradial direction resolution
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent applies segmentation by dividing the image into different regions and directions based on resolution analysis. The system segments the filtering process into separate handling for radial directions and tangential directions, and potentially different regions of the image, applying appropriate filter data to each segment rather than using a single uniform filter for the entire image.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements parameter changes by varying filter parameters (such as cutoff frequency, kernel size, or weighting coefficients) based on the analyzed resolution characteristics. The system changes filter parameters dynamically according to position and direction, allowing optimization of radial direction resolution while maintaining operational feasibility through automated parameter adjustment.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9202264B2Image processing apparatus and image processing method
Publication Date: 2015.12.01 FUJITSU LTD
  • US9202264B2 patent drawing
  • US9202264B2 patent drawing
  • US9202264B2 patent drawing

AI summary

An image processing apparatus includes: a processor coupled to a memory, configured to: perform an analysis of resolution in at least two directions of an image which is taken from a subject having a radial pattern, and determine filter data containing an adjusted weight coefficient which is obtained by adjusting a weight coefficient in one of the two directions, whichever has lower resolution, based on a result of the analysis of the image corrected by filtering on the image in accordance with a blurring function of the image.