Printed Product Image Processing for Realistic Texture Preview

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing made-to-order systems struggle with customer dissatisfaction due to the discrepancy between the imagined product based on digital images and the actual finished product, particularly in items like T-shirts, where texture and feel cannot be accurately predicted.

Innovation Solution

An image data processing method and apparatus that converts image data to reflect the actual state of the product by adjusting hue, brightness, chroma, transparency, and sharpness, and incorporating the texture and unevenness of the article surface, generating an image that closely resembles the finished product.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If digital images are used for made-to-order products, then ordering convenience and variety are improved, but product accuracy and customer satisfaction deteriorate due to the difference between imagined and actual products

Engineering Contradiction:
Improveordering convenienceVSAvoidproduct accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by performing image processing conversions before the customer places the order. The system pre-processes the design image and article surface image to predict the final product appearance, allowing customers to view and confirm the predicted image before ordering. This eliminates the need for customers to imagine the final product, thereby resolving the discrepancy between imagined and actual products while maintaining online ordering convenience.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary element - the predicted product image generated through image processing. This intermediary image serves as a mediator between the digital design image and the actual finished product. By using this intermediate predicted image, customers can accurately understand what the final product will look like without direct contact with the physical product, thus improving both ordering convenience and product accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If simple image display is used for online ordering, then system complexity is reduced, but information completeness deteriorates as texture and surface details cannot be conveyed

Engineering Contradiction:
Improvesystem complexityVSAvoidsurface detail information
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The patent applies parameter changes by transforming the image data through various processing parameters including transparency, brightness, and texture superposition. The system changes the parameters of the design image and article surface image to generate a predicted image that reflects realistic surface characteristics. This approach maintains relatively simple system implementation while effectively conveying texture and surface detail information that would otherwise be lost in simple image display.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12567228B2Image data processing method, image data processing apparatus, and commercial use
Publication Date: 2026.03.03 TOSYO INC
  • US12567228B2 patent drawing
  • US12567228B2 patent drawing
  • US12567228B2 patent drawing

AI summary

An image data processing apparatus and an image data processing method for generating Provided is a sample image that is close to an actual object are introduced. The image data processing method is configured to perform the following steps 1 to 5. (Step 1) Image data (A0) corresponding to an image (A) is converted to acquire image data (A1). (Step 2) Image data (B0) corresponding to an article (B) is converted to acquire image data (B1) corresponding to a surface state of a region of the article (B) on which the image (A) is printed. (Step 3) Image data (A2) is acquired from the image data (A1) and the image data (B1). (Step 4) The image data (A2) is converted to acquire image data (A3). (Step 5) Image data (C0) corresponding to a product (C) is acquired from the image data (A3) and the image data (B0).