Image Processing Chromatic Aberration Correction

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Solution Overview

Problem

Optical lenses suffer from chromatic aberration, causing purplish or bluish fringes in images due to different colors having different refraction ratios, which affects image quality, especially in high-contrast scenarios.

Innovation Solution

An image processing method that involves setting regions on an image, calculating average values, and determining whether to replace the image based on differences between these values using a parameter set, effectively addressing chromatic aberration by generating a second image that minimizes color distortions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If optical lens refraction is used to focus light, then image focusing is achieved, but chromatic aberration occurs causing purplish or bluish fringes

Engineering Contradiction:

Improveimage focusing accuracyVSAvoidchromatic aberration

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent applies parameter changes by adjusting image processing parameters (such as blur amount, saturation, and hue) to compensate for chromatic aberration. The system calculates adjustment amounts based on the degree of chromatic aberration detected and modifies image parameters accordingly to reduce the purplish or bluish fringes while maintaining proper focus.

Inventive Principle:

Principle #35Parameter changes

2Object-affected harmful factors

If image processing computation is performed to reduce chromatic aberration, then color consistency is improved, but processing complexity increases

Engineering Contradiction:

Improvecolor distortionVSAvoidprocessing complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent segments the image processing task by dividing it into distinct steps: detecting chromatic aberration locations, calculating adjustment amounts for different regions, applying differential adjustments to affected areas, and maintaining original values in unaffected areas. This segmentation allows complex processing to be applied only where needed, reducing overall computational complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by performing chromatic aberration correction only in specific regions where the aberration is detected, rather than processing the entire image uniformly. The system identifies high-contrast edges and junctions as target regions for adjustment, applying different processing intensities to different parts of the image based on local characteristics.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9479716B2Image processing method, electronic device, electronic device readable storage medium and program applied in electronic device

Publication Date: 2016.10.25 ABILITY ENTERPRISE CO LTD

AI summary

An image processing method comprises: receiving a first image; setting at least one first region on the first image, where the first image comprises at least one line; calculating a first average value of the first region; performing computation on the first image with a first parameter set to generate a second image; setting a second region of the second image according to the first region, and calculating a second average value of the second region; calculating a difference between the first average value and the second average value; and determining whether to replace the first image with the second image according to the difference.