Digital Aberration Correction via Spatial Feature Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods struggle to effectively correct optical aberrations in digital images without prior knowledge of the optical system, especially in devices like mobile phones where hardware modifications are not feasible and prior information about the optical system is lacking.
Innovation Solution
A method that analyzes spatial features of picture elements to calculate parameters representative of optical aberrations, creating a demosaicing map to guide linear interpolation and correct aberrations in digital images using kernel information, including distance, direction, and size, without requiring prior information about the optical system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical aberration correction is performed by modifying the optical system (adding or deleting optical devices), then aberration correction is achieved, but device complexity increases and other optical properties are modified
Solution Approach 1:
The patent replaces optical correction mechanisms with digital image processing. Instead of modifying the physical optical system with additional lenses or optical devices, the invention uses computational methods to correct aberrations in the captured image data, thereby eliminating the need for complex optical modifications while achieving aberration correction.
Solution Approach 2:
The patent changes the parameters of the digital image data through processing algorithms. By analyzing spatial features of picture elements and calculating aberration parameters, the system digitally adjusts and corrects the image data, transforming the optical correction problem into a parameter adjustment problem in the digital domain.
2Measurement precision
If optical aberration correction is performed using prior information about the optical system, then correction accuracy is improved, but adaptability to different optical systems decreases
Solution Approach 1:
The patent enables the system to self-determine optical aberration characteristics by analyzing spatial features of picture elements in the captured image. The method calculates aberration parameters directly from the image data itself, eliminating the need for external prior information about the optical system. This self-service approach allows accurate correction while maintaining full adaptability to different optical systems.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously analyzes spatial features of picture elements to calculate aberration parameters. This feedback loop allows the system to adapt to the specific characteristics of each optical system in real-time, achieving both accuracy and versatility by using the actual image data to guide the correction process.
3Ease of operation
If conventional demosaicing is used without aberration consideration, then processing simplicity is maintained, but image quality degradation occurs due to uncorrected aberrations
Solution Approach 1:
The patent performs preliminary analysis of spatial features of picture elements to calculate aberration parameters before executing the demosaicing process. By preparing and storing aberration information in advance, the system can incorporate aberration correction into the demosaicing algorithm, improving image quality while maintaining processing efficiency through pre-computed correction data.
Solution Approach 2:
The patent applies local aberration correction by analyzing spatial features at different locations in the image. The method calculates aberration parameters specifically for each picture element or local region, allowing tailored correction that adapts to local image characteristics and aberration variations, thereby improving overall image quality while maintaining computational efficiency.
Data Source
AI summary
Processing of a digital image that has been recorded through an optical system is described, the image being in a raw format matrix of picture elements and comprising a plurality of subsets of picture elements, each subset corresponding to a color component. The method comprises analyzing values of picture elements of the color components in terms of spatial features, resulting in at least one calculated parameter that is representative of aberration caused by the optical system, and performing demosaicing of the digital image by, for each picture element under consideration, defining a kernel comprising picture elements that are to be considered during the demosaicing, the definition of the kernel being dependent on the at least one parameter that is representative of the aberration.