Multi-lens Image Stitching Brightness Adjustment

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Solution Overview

Problem

Image stitching techniques often result in poor effects due to brightness differences between integrated images, leading to a discontinuous feel in the final output.

Innovation Solution

An image capturing and processing apparatus that uses multiple lens modules to capture images from different directions, dividing the images into sub-blocks and comparing parameters to calculate difference values, which are then used to adjust the brightness of the images and integrate them seamlessly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If image stitching technique is used to produce an image with wider view by integrating at least two material images, then the view coverage is improved, but the brightness continuity deteriorates due to brightness differences between the material images

Engineering Contradiction:
Improveview coverageVSAvoidbrightness continuity
Core Design Contradiction:
Area of stationary objectVSIllumination intensity

Solution Approach 1:

The patent divides the image into multiple blocks (first left block, first right block, second left block, second right block) and further segments each block into sub-blocks. This segmentation allows independent brightness adjustment of each block using different weighting values, enabling seamless blending while maintaining wide view coverage through multi-lens integration.

Inventive Principle:
Principle #1Segmentation

2Area of stationary object

If multiple lens modules are used to capture images from different directions, then the view coverage is improved, but the device complexity increases

Engineering Contradiction:
Improveview coverageVSAvoiddevice complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent uses multiple lens modules arranged in different spatial directions (first lens module in first direction, second lens module in second direction) to capture images from multiple angles simultaneously. This dimensional arrangement achieves wide view coverage without requiring sequential capture, reducing time complexity while managing spatial complexity through structured optical paths.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Illumination intensity

If brightness adjustment is performed on integrated images, then the brightness continuity is improved, but the processing time increases

Engineering Contradiction:
Improvebrightness continuityVSAvoidprocessing time
Core Design Contradiction:
Illumination intensityVSLoss of time

Solution Approach 1:

The patent performs brightness adjustment during the image integration process itself, rather than as a separate post-processing step. By calculating weighting values and adjusting brightness of each block concurrently with the stitching operation, the method achieves brightness continuity without significant additional processing time.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10630898B2Image capturing apparatus, method for adjusting brightness of images and image processing apparatus
Publication Date: 2020.04.21 ABILITY ENTERPRISE CO LTD
  • US10630898B2 patent drawing
  • US10630898B2 patent drawing
  • US10630898B2 patent drawing

AI summary

An image capturing apparatus includes a first lens module, a second lens module and an operation module which divides a first left block, a second right block of the first image and a second right block, a second left block of the second image into a plurality of first right sub-blocks, first left sub-blocks, second right sub-blocks and second left sub-blocks respectively, compares a first parameter, a second parameter and/or a third parameter of the first left sub-blocks, the first right sub-blocks, the second left sub-blocks and the second right sub-blocks, obtains a plurality of first difference values, a plurality of second difference values and/or a plurality of third difference values, obtains a total weighting value according to the first difference values, the second difference values and/or the third difference values, and adjusts brightness of the first image and the second image with the total weighting value.