Blur Kernel GUI for Spatially Varying Image Deblurring
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Solution Overview
Problem
Handheld photos taken in low-light conditions often result in blurred images due to camera shake, and existing deblurring techniques lack user-friendly interfaces for casual users to effectively manage image deblurring, especially on mobile devices.
Innovation Solution
A graphical user interface (GUI) is developed that allows users to deblur images by displaying suggested blur kernels, enabling users to modify kernel sizes and automatically identify regions for deblurring, using multiple blur kernels to address spatially varying blur, and providing a tile-based blending approach for image deconvolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single blur kernel is used to deblur an entire image, then the deblurring process is simple and fast, but it cannot effectively address spatially varying blur in different regions of the image
Solution Approach 1:
The patent divides the image into multiple regions, each with its own blur kernel characteristics. The system automatically identifies different blur kernels in different regions of the image and applies region-specific deblurring, rather than using a single uniform kernel for the entire image. This segmentation approach enables effective handling of spatially varying blur while maintaining user-friendly operation.
Solution Approach 2:
The system automatically estimates and identifies blur kernels for different image regions without requiring manual user input. The automatic blur kernel estimation feature detects blur characteristics in various regions and configures appropriate kernels, allowing the system to serve itself rather than requiring expert user intervention for kernel configuration.
2Manufacturing precision
If multiple blur kernels are used to address spatially varying blur, then deblurring quality is improved, but the user interface complexity increases for casual users
Solution Approach 1:
The system automatically estimates blur kernels for different image regions without requiring manual user input. The automatic blur kernel estimation feature detects blur characteristics in various regions and configures appropriate kernels, allowing the system to serve itself rather than requiring expert user intervention for kernel configuration.
Solution Approach 2:
The patent introduces an automatic blur kernel estimation module that acts as an intermediary between the user and the complex multi-kernel deblurring process. This intermediary automatically analyzes the image, identifies blur characteristics in different regions, and configures appropriate kernels, shielding casual users from the complexity while enabling high-quality deblurring.
3Manufacturing precision
If manual blur kernel configuration is required, then precise control over deblurring is achieved, but the operation becomes difficult for casual users with limited photo editing experience
Solution Approach 1:
The system automatically estimates blur kernels for different image regions without requiring manual user input. The automatic blur kernel estimation feature detects blur characteristics in various regions and configures appropriate kernels, allowing the system to serve itself rather than requiring expert user intervention for kernel configuration.
Solution Approach 2:
The system performs preliminary automatic estimation and configuration of blur kernels before the user initiates the deblurring process. By pre-configuring the appropriate kernels based on automatic analysis, the system eliminates the need for users to manually configure complex parameters, making the tool accessible to casual users while maintaining precision.
Data Source
AI summary
A computer-implemented method and apparatus are described for deblurring an image. The method may include causing display of a graphical user interface configured to be used to deblur the image. The graphical user interface may include a display zone and a control zone adjacent to the display zone. A user-selected image may be displayed in the display zone, and a suggested blur kernel may be displayed in the control zone, wherein the blur kernel is associated with a blurred region in the user-selected image. The suggested blur kernel is then displayed proximate the associated blurred region in the display zone.