Background Image Generation via Color Modulation

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Solution Overview

Problem

Existing background image generation methods for intelligent terminal devices are limited by the availability of background styles and the quality of user-selected images, which often have photographic defects and are not suitable for backgrounds.

Innovation Solution

A method that involves acquiring a first image, searching for a second image matching the first image in a preset image library, and performing a color-modulation process on the second image to generate a background image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If user-selected images are used as backgrounds, then personalization is improved, but image quality deteriorates due to photographic defects

Engineering Contradiction:
ImprovepersonalizationVSAvoidimage quality
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent uses image recognition to identify the main subject in the user's photo and then searches for a matching template image from a preset library. This template image serves as a high-quality copy that replicates the desired composition and subject while eliminating photographic defects, thus maintaining personalization while improving image quality.

Inventive Principle:
Principle #26Copying

2Manufacturing precision

If preset background styles are used, then image quality is improved, but personalization deteriorates due to limited styles

Engineering Contradiction:
Improveimage qualityVSAvoidbackground styles
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by extracting specific color information from the user's original photo (particularly the color of the main subject) and applying this local color characteristic to the corresponding region in the template image. This allows the background to maintain high quality while adapting to user-specific color preferences.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the color parameters of the template image by extracting color information from the user's photo and adjusting the template's color values to match. This parameter adjustment enables the same template to generate multiple personalized variations, increasing style diversity while maintaining quality.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If color-modulation process is performed on template images, then personalization is improved, but processing complexity increases

Engineering Contradiction:
Improvecolor matchingVSAvoidprocessing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts only the essential color information from the user's original photo using image recognition technology, rather than processing the entire image. This extraction approach simplifies the subsequent color modulation process by focusing only on the key color characteristics that need to be transferred to the template image.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12271979B2Background image generation method and apparatus, storage medium, and electronic device
Publication Date: 2025.04.08 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
  • US12271979B2 patent drawing
  • US12271979B2 patent drawing
  • US12271979B2 patent drawing

AI summary

A background image generation method, a non-transitory computer-readable storage medium and an electronic device. The background image generation method includes: acquiring a first image, searching a second image matching the first image in a preset image library; and performing a color-modulation process on the second image according to the first image, and generating a background image. The user's personalized demands regarding a background image are satisfied, and time and hardware costs for obtaining a background image are reduced.