Image Restoration via Ambient Field Energy Minimization
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Solution Overview
Problem
Traditional image restoration methods are not suitable for images without overlapping areas between blocks, leading to inaccurate restoration and limited applicability, with existing methods being unsuitable for any damaged image and lacking in accuracy.
Innovation Solution
An image restoration method that processes initially registered image blocks to acquire connection curves, constructs an ambient field, registers the blocks by minimizing energy in this field, and performs image filling to achieve accurate restoration without requiring overlapping areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional diffusion-based or texture-synthesis-based restoration methods are used, then restoration can be performed on images with overlapping blocks, but the method becomes unsuitable for images without overlapping areas and accuracy decreases
Solution Approach 1:
The patent changes the fundamental parameter of block registration from overlap-based to energy-minimization-based. By introducing an energy function that measures the consistency of connection curves between blocks and minimizing this energy through optimization, the method adapts to work with both overlapping and non-overlapping blocks, thereby improving versatility while maintaining accuracy through mathematical optimization rather than assumptions about block overlap
Solution Approach 2:
The patent replaces the mechanical/geometric assumption of block overlap with a mathematical field theory approach. By constructing an ambient field from connection curves and using energy minimization principles, the method substitutes the physical constraint of overlapping blocks with a mathematical optimization framework, enabling accurate restoration regardless of whether blocks actually overlap
2Adaptability or versatility
If extrapolation is performed on non-overlapping image blocks to achieve restoration, then the method can handle images without overlapping areas, but the extrapolation is very inaccurate and registration errors increase
Solution Approach 1:
The patent introduces connection curves as an intermediary element between image blocks. Instead of directly extrapolating block contents or assuming overlap, the method uses connection curves derived from salient features to establish relationships between blocks. These curves serve as mediators that guide the registration process through energy minimization, providing an accurate bridge between non-overlapping blocks without relying on inaccurate extrapolation
Solution Approach 2:
The patent performs preliminary extraction of salient curves and construction of connection curves before the actual registration process. By pre-processing the image blocks to identify and connect salient features, the method establishes a reliable framework that guides subsequent energy minimization and registration, ensuring accurate alignment even when blocks do not overlap, thereby avoiding the need for inaccurate extrapolation
Data Source
AI summary
Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image. The present invention can be applied to restore any damaged image and improve the accuracy.