Image Mask Fusion for Precise Object Shape Replacement

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Solution Overview

Problem

Current image conversion technologies fail to control the shape of objects in converted images, making it difficult to meet specific application requirements.

Innovation Solution

An image processing method and apparatus that involves obtaining masks representing object areas, generating a third mask to indicate the occupied area of a second object, determining a foreground image, removing the first object, and fusing the foreground and background images to obtain a target image with the second object.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If current image conversion technology is used, then image conversion can be performed, but the shape of the occupied area of the second object cannot be controlled

Engineering Contradiction:
Improveshape control precisionVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the image processing into distinct components: obtaining a first mask representing the first object's occupied area, obtaining a second mask representing the second object's occupied area, generating a third mask by fusing the first and second masks, and using the third mask to control the shape of the second object in the converted image. This segmentation allows precise control over the second object's shape while maintaining manageable processing complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary actions by obtaining and processing masks before the actual image conversion. The first mask and second mask are obtained in advance, and the third mask is generated by fusing these masks before being used to guide the image conversion process. This preliminary preparation of masks enables precise shape control without increasing the complexity of the conversion process itself.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If the second object's occupied area shape is controlled using masks, then shape precision is improved, but the processing steps increase

Engineering Contradiction:
Improveobject shape precisionVSAvoidprocessing efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The patent merges the first mask and second mask to generate the third mask, which represents the union of both objects' occupied areas. This merging operation consolidates multiple mask operations into a single fused mask that can be directly used to control the second object's shape in the converted image, improving processing efficiency while maintaining shape precision.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The third mask serves as an intermediary that bridges the first mask and second mask to the final image conversion process. By fusing the first and second masks into the third mask, the patent creates a single control mechanism that enables precise shape control without requiring separate processing steps for each mask, thus maintaining processing efficiency.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250363597A1Image processing method and apparatus
Publication Date: 2025.11.27 LENOVO (BEIJING) LTD
  • US20250363597A1 patent drawing
  • US20250363597A1 patent drawing
  • US20250363597A1 patent drawing

AI summary

An image processing method includes obtaining a first mask and a second mask, wherein the first mask represents an occupied area of a first object, and the second mask represents an occupied area of a second object, generating a third mask according to the first mask, the second mask, and a source image, wherein the third mask is used to indicate the occupied area of the second object in the source image, and the source image includes the first object, determining a foreground image according to the first mask, the second mask, and the third mask, wherein the foreground image includes the second object, removing the first object from the source image to determine a background image, and fusing the foreground image and the background image to obtain a target image that includes the second object but excludes the first object.