Rear Image Stitching with Gain Correction for Color Seamlessness

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Solution Overview

Problem

Existing techniques for synthesizing images from multiple cameras with partially-overlapping fields of view can result in individual images within the synthetic image appearing flawed due to differences in color tone and brightness, and may lead to pixel saturation and strange color tones.

Innovation Solution

A synthetic image generation system that applies a predetermined image conversion to both the first and second images, extracts comparative images, calculates a correction gain based on these images, corrects the second image, applies an inverse conversion, and synthesizes the corrected image with the first image to generate a seamless synthetic image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If a correction gain is calculated from the ratio of mean pixel values in comparative images and applied to correct the second image, then color tone and brightness consistency between images is improved, but pixel saturation and strange color tones occur

Engineering Contradiction:

Improvecolor tone and brightness consistencyVSAvoidpixel saturation and strange color tones

Core Design Contradiction:

Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The patent changes the parameter used for correction gain calculation from mean pixel values to standard deviation values. This parameter change allows the system to focus on correcting color tone variations without causing pixel saturation, as standard deviation better represents color distribution characteristics without being skewed by extreme values.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the direct multiplication correction method (mechanical operation) with a more sophisticated correction approach that uses standard deviation ratios and applies corrections in a controlled manner. This substitution prevents the harsh effects of direct gain multiplication that causes saturation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If the gain of the second image is corrected based on the correction gain calculated from mean pixel values, then seamlessness between images is improved, but individual images look flawed

Engineering Contradiction:

Improveseamlessness between imagesVSAvoidimage quality

Core Design Contradiction:

Manufacturing precisionVSReliability

Solution Approach 1:

The patent changes from using mean pixel values to using standard deviation values for calculating correction gain. This parameter change enables the system to achieve seamlessness while preserving image quality, as standard deviation better captures the variability and distribution of pixel values without being influenced by extreme values that cause flaws.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250196773A1Synthetic image generation system and rear image display system

Publication Date: 2025.06.19 ALPS ALPINE CO LTD

AI summary

A synthetic image generation system for generating a synthetic image by synthesizing a first image captured by a first camera and a second image captured by a second camera is provided. At least a part of the field of view of the first camera and at least a part of the field of view of the second camera overlap each other. The synthetic image is an image in which at least a part of the first image and at least a part of the second image are joined together. The synthetic image generation system at least includes a first image conversion unit, a second image conversion unit, a comparative image extracting unit, a correction gain calculation unit, a correction unit, a second image inverse-conversion unit, and a synthesis unit.