Camera Auto-Focusing via Multi-Image Synthesis for VCM Non-Linearity

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Solution Overview

Problem

Images shot by cameras with auto-focusing functions are not clear enough due to errors in the correspondence between the input current of a Voice Coil Motor (VCM) and object distance, leading to partially unclear images.

Innovation Solution

The method involves shooting multiple images at the same position and angle with different input currents for the VCM, synthesizing these images by dividing them into pixel blocks, evaluating the pixel density and distance between blocks, and selecting the clearest blocks to produce a clearer final image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the correspondence between current and object distance is used for auto-focusing, then the focusing function is achieved, but image clarity deteriorates due to non-linear relationship errors

Engineering Contradiction:
Improveauto-focusing functionVSAvoidimage clarity
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent performs preliminary actions by shooting multiple images at different current values before final image processing. The system captures a first image at a first current value and a second image at a second current value, then uses image synthesis to determine the clearest image. This preliminary multi-shot approach compensates for the non-linear current-distance relationship errors before final image output.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the current parameter to multiple discrete values (first current, second current, etc.) to overcome the non-linear relationship between current and object distance. By testing multiple current values and synthesizing images, the system identifies the current value that produces the clearest image, effectively compensating for the non-linear correspondence errors in the VCM system.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If multiple images are shot and synthesized, then image clarity is improved, but shooting time increases

Engineering Contradiction:
Improveimage clarityVSAvoidshooting time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by shooting a limited number of images (first image and second image at different current values) rather than continuously shooting. The image synthesis module processes only these specific images to determine the clearest one, avoiding excessive processing time while still improving image clarity through targeted multi-shot synthesis.

Inventive Principle:
Principle #16Partial or excessive action

3Ease of operation

If the lens is locked in VCM for focusing adjustment, then auto-focusing is achieved, but positioning precision deteriorates due to elastic sheet deformation

Engineering Contradiction:
Improvefocusing adjustmentVSAvoidlens positioning precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces feedback by evaluating image clarity as a result of VCM positioning and using this feedback to determine the optimal current value. The image synthesis module analyzes the clarity of images captured at different current values, and this clarity feedback is used to identify the current value that produces the sharpest focus, thereby compensating for positioning errors caused by elastic sheet deformation in the VCM system.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach optimizes image clarity by replacing unclear portions with clearer ones from different images, resulting in a more defined final image, effectively addressing the issue of non-linear correspondence between current and object distance.

Implementation Method 1

A magnetic field is generated by the coil when the coil is electrified, and the coil moves up under the interaction of the magnetic field of the coil with the magnet set, accompanied by the movement of the lens of the camera locked inside the coil.

Methodology Applied
Scientific EffectElectromagnetic interaction: Lorentz Force

Implementation Method 2

When powered off, the coil returns through the elastic force of the elastic sheets, thereby realizing an auto-focusing function.

Methodology Applied
Scientific EffectElastic force: Elasticity

Data Source

PatentUS10044931B2Camera auto-focusing optimization method and camera
Publication Date: 2018.08.07 XIAN ZHONGXING NEW SOFTWARE
  • US10044931B2 patent drawing
  • US10044931B2 patent drawing
  • US10044931B2 patent drawing

AI summary

An auto-focusing optimization method for a camera and a camera are provided. The auto-focusing optimization method for a camera includes: shooting, in an focusing manner, at least the first image and the second image after the camera is started; synthesizing the first and the second image; and displaying an image after synthesis processing. The above scheme is capable of optimizing an image shot in a focusing manner and improving the definition of the image.