Image Pyramid Inpainting for Texture Transition and Edge Connection
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Solution Overview
Problem
There is a need for an image processing method that can effectively erase specific objects from images while filling in the removed areas to enhance the overall aesthetics of the image, as existing methods fail to achieve a fine processing effect.
Innovation Solution
The method involves constructing an image pyramid with multiple layers of ascending resolution, performing a matching updating process on each layer based on similarity matching, and updating the image layers to generate a target effect image that fills in the erased areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing image processing methods are used to erase objects, then the processing speed is maintained, but the image processing effect is poor and the filled areas do not blend well
Solution Approach 1:
The image is divided into multiple layers forming an image pyramid structure, where each layer represents a different resolution level. The processing is segmented across these layers, with each layer being processed independently through matching and updating operations, allowing fine-grained control over the inpainting process at different scales
Solution Approach 2:
The patent introduces a new dimension by constructing an image pyramid with multiple resolution layers. Instead of processing the image at a single resolution, the method operates across multiple dimensional levels (from low to high resolution), enabling information transfer and matching between different scale dimensions to achieve better processing effects
2Manufacturing precision
If simple erasing methods are applied, then the operation is fast and simple, but the texture transition and edge connection are poor
Solution Approach 1:
The method performs preliminary matching and updating operations on low-resolution layers before processing high-resolution layers. This preliminary action establishes a foundation for texture transition at coarser scales, which then guides the finer detail restoration in subsequent high-resolution processing, ensuring smooth transitions before fine details are added
Solution Approach 2:
Low-resolution image layers serve as intermediaries between the erased regions and the final high-resolution output. These intermediate layers facilitate the transfer of structural and textural information, acting as a bridge that guides the inpainting process and ensures coherent texture transitions before final detail restoration
Data Source
AI summary
The present disclosure provides an image processing method, an apparatus, a device and a storage medium. The method includes: based on a smear region in an image to be processed, by taking a target image as an image of a bottom layer, an image pyramid is constructed for the target image; in an order from a top layer to the bottom layer, a matching updating process is performed on an image of each layer in the image pyramid, sequentially; a target patch corresponding to a patch to be matched is determined on the input image of the current layer based on similarity matching; the input image of the current layer is updated based on the target patch; based on an updated image corresponding to the image of the bottom layer in the image pyramid, a target effect image corresponding to the image to be processed is generated.