Optical Mouse Image Contrast Enhancement for Displacement Accuracy

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Solution Overview

Problem

Optical navigating apparatuses, such as optical mice, face errors in displacement computation due to images being out of focus or having indefinite features, which are affected by factors like printed circuit board thickness and surface characteristics.

Innovation Solution

An image adjusting method that utilizes brightness information to determine if a contrast enhancing operation is needed, setting threshold values for different brightness levels, and adjusting images accordingly to generate a clearer image for more accurate displacement detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the image sensor is used to catch continuous images for displacement computation, then the optical navigating apparatus can perform navigation function, but the images may be out of focus or have indefinite features causing computation errors

Engineering Contradiction:
Improvedisplacement computation accuracyVSAvoidimage feature clarity
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by performing contrast enhancement processing on images before they are used for displacement computation. The system pre-processes the images to improve their clarity and feature definition, ensuring that the images are in optimal condition for subsequent displacement analysis. This prevents the problem of indefinite features causing computation errors.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the contrast parameter of the image to improve feature clarity. By adjusting the contrast parameter through enhancement processing, the system transforms images with indefinite features into images with clear, distinguishable features, thereby improving measurement precision without affecting the navigation function.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If the printed circuit board thickness is controlled to fall in a predetermined range, then the image sensor can be properly positioned, but the images may still be out of focus due to other factors

Engineering Contradiction:
Improveimage sensor positioningVSAvoidimage focus quality
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent introduces image processing algorithms as an intermediary between the image sensor and the displacement computation process. This intermediary layer performs contrast enhancement to compensate for focus issues that cannot be fully addressed by mechanical positioning alone, thereby improving image focus quality without requiring changes to the printed circuit board thickness.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If the optical navigating apparatus passes over surfaces with no apparent features, then the apparatus can move freely, but the image will have indefinite features making displacement detection inaccurate

Engineering Contradiction:
Improvesurface adaptabilityVSAvoidfeature definition
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent changes the contrast parameter of images captured from featureless surfaces through enhancement processing. By adjusting contrast and other image parameters, the system creates artificial feature definition in otherwise indefinite images, enabling accurate displacement detection even on surfaces with no apparent features while maintaining surface adaptability.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9261982B2Image adjusting method and optical navigating apparatus utilizing the image adjusting method
Publication Date: 2016.02.16 PIXART IMAGING INC
  • US9261982B2 patent drawing
  • US9261982B2 patent drawing
  • US9261982B2 patent drawing

AI summary

A computer readable recording media, having at least one program code recorded thereon, an image adjusting method can be performed when the program code is read and executed. The image adjusting method comprises: catching a current image; computing at least one kind of brightness information of the current image; respectively setting corresponding threshold values to different kinds of the brightness information; and determining if a contrast enhancing operation should be performed to the current image to generate an adjusted image according to a number that the brightness information is over the threshold value.