Image Processing Apparatus Balancing AI and Non-AI Elements

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Solution Overview

Problem

Existing image processing systems struggle to minimize the noticeable effects of AI processing on images, particularly in reducing noise and correcting optical aberrations, while maintaining user preference for image quality and style.

Innovation Solution

An image processing apparatus that combines AI and non-AI method processed images, adjusting the ratio of AI and non-AI processed elements to optimize image quality, allowing for reduced noise and aberration correction while avoiding excessive AI processing effects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If AI processing is applied to reduce noise and correct optical aberrations, then image quality is improved, but the noticeable effect of AI processing becomes excessive

Engineering Contradiction:
Improveimage qualityVSAvoidnoticeable AI processing effect
Core Design Contradiction:
Manufacturing precisionVSObject-generated harmful factors

Solution Approach 1:

The patent implements dynamic adjustment of AI processing intensity based on local image characteristics. The processor calculates an AI processing intensity map that varies spatially across the image, allowing different regions to have different degrees of AI processing applied. This resolves the contradiction by making the AI processing effect adaptive rather than uniform, improving image quality where needed while minimizing noticeable effects in regions where AI processing is less beneficial or more apparent.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies different AI processing intensities to different regions of the image based on local characteristics such as noise levels, edge complexity, and importance of the region. By making the AI processing quality non-uniform and tailored to local needs, the system achieves high image quality in critical areas while maintaining natural appearance in other areas, thus resolving the contradiction between quality improvement and minimizing noticeable AI effects.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If AI processing intensity is increased to improve image quality, then noise reduction and aberration correction are enhanced, but user preference for natural image style is compromised

Engineering Contradiction:
Improvenoise reduction effectivenessVSAvoiduser preference alignment
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts AI processing intensity based on user preferences and local image characteristics. By making the processing adaptive rather than fixed, it can enhance noise reduction where needed while preserving natural image style in regions where users prefer minimal processing, thus resolving the contradiction between processing effectiveness and user preference alignment.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of AI processing intensity from a fixed value to a spatially varying parameter that can be adjusted based on different regions and user preferences. This allows the system to optimize noise reduction in specific areas while maintaining natural appearance elsewhere, resolving the contradiction between enhancement effectiveness and stylistic fidelity.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240005467A1Image processing apparatus, imaging apparatus, image processing method, and program
Publication Date: 2024.01.04 FUJIFILM CORP
  • US20240005467A1 patent drawing
  • US20240005467A1 patent drawing
  • US20240005467A1 patent drawing

AI summary

The image processing apparatus includes a processor. The processor is configured to: acquire a first image, which is obtained by performing first AI processing on a processing target image, and a second image, which is obtained without performing the first AI processing on the processing target image; and adjust excess and deficiency of the first AI processing by combining the first image and the second image.