Automated Studio Image Color Correction Using Reference Matrix

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Solution Overview

Problem

Manual color correction of images in retail environments is inefficient and inconsistent, especially when dealing with large volumes of inventory across various photo studios.

Innovation Solution

An automated two-step color correction process using a color checker image to generate color correction information, either as a color correction matrix or white-balance parameters, which are then applied to raw images to produce consistently colored images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual color correction techniques are used, then color accuracy can be adjusted, but processing speed and efficiency deteriorate significantly when dealing with large volumes of images

Engineering Contradiction:
Improvecolor accuracyVSAvoidprocessing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual mechanical color correction processes with an automated computational system. A color correction matrix is generated from a color checker image and automatically applied to correct colors in product images, eliminating the need for manual adjustment while maintaining color accuracy and significantly increasing processing speed for large volumes of images

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent uses a color checker image (a standardized reference object) as a copy or template to establish color correction parameters. This reference image is processed to generate a correction matrix that is then replicated and applied across multiple product images, ensuring consistent color accuracy without manual intervention for each image

Inventive Principle:
Principle #26Copying

2Manufacturing precision

If manual color correction is performed across multiple photo studios, then individual image quality can be maintained, but consistency and reliability of color standards deteriorate

Engineering Contradiction:
Improveimage qualityVSAvoidcolor consistency
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent creates a universal color correction matrix that can be applied across multiple photo studios and different product images. This single correction matrix, derived from a standardized color checker, serves as a universal standard that ensures consistent color accuracy across all images processed, regardless of which studio captured them

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent transforms color correction from a subjective manual process into an objective parameter-based system. By converting color correction into mathematical matrix operations with specific numerical parameters, the system ensures reliable and consistent color standards across different studios while maintaining high image quality

Inventive Principle:
Principle #35Parameter changes

3Productivity

If automated color correction is implemented, then processing efficiency improves, but system complexity increases

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary color correction by generating a correction matrix from a color checker image captured during the photo session. This preliminary action establishes the color parameters in advance, allowing rapid automated correction of all product images without requiring complex real-time processing algorithms for each image

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12254532B1Automated color correction of studio images to provide a consistent standard of appearance
Publication Date: 2025.03.18 REALREAL INC
  • US12254532B1 patent drawing
  • US12254532B1 patent drawing
  • US12254532B1 patent drawing

AI summary

A color correction system comprises a correction information generator and an image processor. The correction information generator generates color correction information from a color correction image associated with a plurality of images. The image processor automatically processes the plurality of images based on the color correction information to generate a plurality of color-corrected images. In operation, images and a color correction image associated with the images are received. Next, color correction information is generated from the color correction image. For example, color correction information includes a color correction matrix or white balance parameters. Next, the images are automatically processed based on the color correction information thereby generating color-corrected images. The system automates color correction processing of studio images to provide highly scalable and reliable color correction. Significant quantities of studio images are consistently color-corrected based on processing of the color correction image.