Vehicle Window Image Processing for Color Stripe Removal

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Solution Overview

Problem

Vehicle window images captured by intelligent traffic checkpoint cameras often suffer from severe color stripes due to the combination of a film on the glass and a polarizer in the camera, which reduces the accuracy of face recognition.

Innovation Solution

A pre-trained vehicle window color stripe processing model is used to process vehicle window images, generated through machine learning based on sample image pairs, to eliminate or reduce color stripes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Temperature

If a film is attached onto the vehicle window glass for heat insulation or anti-glare, then the heat insulation and anti-glare performance is improved, but color stripes appear in the captured images

Engineering Contradiction:

Improveheat insulation performanceVSAvoidcolor stripes in images

Core Design Contradiction:

TemperatureVSObject-affected harmful factors

Solution Approach 1:

The patent introduces an intermediary processing layer (image processing model) between the captured image and the final output. This intermediary layer processes the image data to remove color stripe artifacts while preserving the underlying content, effectively mediating between the harmful effect of color stripes and the need to maintain image quality for face recognition

Inventive Principle:

Principle #24Intermediary (Mediator)

2Illumination intensity

If a polarizer is installed in front of the image sensor or lens to reduce polarized light, then the polarized light interference is reduced, but color stripes appear in the captured images

Engineering Contradiction:

Improvepolarized light reductionVSAvoidcolor stripes in images

Core Design Contradiction:

Illumination intensityVSObject-affected harmful factors

Solution Approach 1:

Inventive Principle:

Principle #24Intermediary (Mediator)

3Speed

If color stripe processing is performed using traditional image processing methods, then the processing speed is fast, but the color stripe elimination effect is insufficient

Engineering Contradiction:

Improveprocessing speedVSAvoidcolor stripe elimination effect

Core Design Contradiction:

SpeedVSManufacturing precision

Solution Approach 1:

The patent replaces traditional mechanical/image processing methods with a deep learning-based neural network model. This substitution enables the system to achieve superior color stripe elimination effectiveness by learning complex patterns from training data, while maintaining real-time processing capability through optimized network architecture and hardware acceleration

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12506975B2Vehicle window color stripe processing method and apparatus, storage medium, and electronic device

Publication Date: 2025.12.23 ZHEJIANG UNIVIEW TECH CO LTD

AI summary

A vehicle window color stripe processing method and a vehicle window color stripe processing apparatus, a storage medium and an electronic device are provided. The method includes: extracting a first vehicle window image in a to-be-processed image, where the first vehicle window image is an image with color stripes; and inputting the first vehicle window image into a pre-trained vehicle window color stripe processing model and obtaining a second vehicle window image output by the pretrained vehicle window color stripe processing model. The second vehicle window image is an image without color stripe, or, the intensity of color stripes in the second vehicle window image is lower than that of the color stripes in the first vehicle window image.