Image Acquisition Algorithm Selection for Profile Preservation

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Solution Overview

Problem

Existing image collecting apparatuses lack essential image information, particularly profile and line details, which affects recognition accuracy in image recognition algorithms due to processing that prioritizes human visual appeal over essential features.

Innovation Solution

A method and device that determine the appropriate image acquisition and processing algorithm based on the intended application, such as video shooting or image recognition, to optimize image data for specific requirements, ensuring that essential information like profiles and lines are preserved or enhanced as needed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If the image signal processing unit processes original images to enhance color information for human visual appeal, then the visual quality of images is improved, but profile and line information is lost which reduces recognition accuracy

Engineering Contradiction:
Improveimage visual qualityVSAvoidprofile and line information
Core Design Contradiction:
Manufacturing precisionVSLoss of information

Solution Approach 1:

The patent segments the image processing task by dividing it into two distinct processing paths: one path processes images for human visual display with color enhancement, while another path processes images for machine recognition with profile and line preservation. This segmentation allows each path to be optimized for its specific purpose without compromising the other.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by using different processing algorithms for different purposes within the same system. For human viewing, color enhancement algorithms are applied, while for machine recognition, algorithms that preserve profile and line information are applied. This ensures that each processing stream has the appropriate quality characteristics for its intended use.

Inventive Principle:
Principle #3Local quality

2Device complexity

If a single image processing algorithm is used for all applications, then the system complexity is reduced, but the system cannot satisfy different application requirements such as video shooting and image recognition

Engineering Contradiction:
Improveprocessing algorithm complexityVSAvoidapplication adaptability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamics by making the image processing algorithm selection adaptive and dynamic based on the application type. The system dynamically selects between different processing algorithms (color enhancement for video shooting, profile preservation for image recognition) based on the detected application requirements, allowing the system to adapt to different uses without manual reconfiguration.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies parameter changes by modifying the processing parameters and algorithm selection based on the application type. Different parameters are adjusted for different applications: color enhancement parameters are used for video shooting, while profile preservation parameters are used for image recognition. This allows a single system to serve multiple purposes by changing processing parameters rather than requiring completely separate hardware systems.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9332178B2Methods of image acquiring and electronic devices
Publication Date: 2016.05.03 LENOVO (BEIJING) LTD
  • US9332178B2 patent drawing
  • US9332178B2 patent drawing
  • US9332178B2 patent drawing

AI summary

Disclosed is a method of image acquiring and an electronic device. The method comprises: obtaining first image purpose information, wherein the first image purpose information corresponds to a first application; determining a first algorithm corresponding to the first image purpose information from at least two algorithms which are different from each other, based on the first image purpose information; and acquiring a first image data for the use of the first application based on the first algorithm.