Image Inpainting Using Backup Pixel Blocks for Texture Preservation
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Solution Overview
Problem
Current image processing techniques for portrait beautification struggle to effectively remove defects like acne, moles, and spots while maintaining the natural texture and reality of the skin, often resulting in unnatural or abrupt transitions.
Innovation Solution
A method and device for inpainting images that determine an inpainting region, obtain original texture information, and use backup pixel blocks to inpaint pixels, weighting values and superimposing texture information to create a smooth and realistic image, with the backup pixel blocks selected based on similarity and edge strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional inpainting techniques are used to remove defects, then the defective regions can be removed, but the original texture and reality of the skin are lost, resulting in unnatural transitions
Solution Approach 1:
The image is divided into multiple pixel blocks, where some blocks are designated as inpainting blocks and others as backup blocks. This segmentation allows selective processing of defective regions while preserving texture information from non-defective regions through the backup blocks.
Solution Approach 2:
The method pre-pares backup pixel blocks from regions outside the inpainting area before performing the actual inpainting. These backup blocks contain original texture information that is superimposed during the inpainting process to maintain texture realism, rather than simply copying or interpolating values.
2Productivity
If simple pixel copying or interpolation is used for inpainting, then the processing speed is fast, but abrupt edges and unnatural transitions appear in the inpainted regions
Solution Approach 1:
The method changes the parameter approach from direct pixel value copying or linear interpolation to a superposition operation that combines multiple pixel blocks with different weights. This parameter transformation allows for smoother transitions and more natural blending while maintaining computational efficiency through the block-based approach.
Data Source
AI summary
A method and device are provided for inpainting image. An electronic device can be used for: determining an inpainting region of the image, wherein the inpainting region includes a defective region; obtaining original texture information of the inpainting region; determining inpainting pixel blocks and backup pixel blocks, wherein the inpainting pixel blocks include inpainting pixels and first type pixels; inpainting all inpainting pixels of the inpainting pixel blocks based on the backup pixel blocks; and superimposing the original texture information in the inpainting region.