Encoded Mask Image Reconstruction With Error Estimation Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image reconstruction methods using compressed sensing techniques suffer from estimation errors due to assuming sparsity, leading to unreliable output images and compromised analysis results.
Innovation Solution
An image processing apparatus and method that includes a storage device storing coding information for optical filters with varying light transmission characteristics and a signal processing circuit to generate reconstructed images and estimate errors, outputting signals indicating these errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If compressed sensing technique is applied to reconstruct images from limited data, then image resolution and information content increase, but estimation errors occur due to non-sparse components reducing reliability
Solution Approach 1:
The patent introduces a feedback mechanism where the system estimates reconstruction errors by comparing the reconstructed image's sparsity characteristics against expected sparsity patterns. This error estimation feeds back into the reconstruction process, allowing iterative refinement and quality assessment, thereby improving reliability while maintaining high resolution
Solution Approach 2:
The patent replaces traditional mechanical validation methods with computational error estimation. Instead of physical verification, the system uses mathematical models to estimate reconstruction errors based on sparsity assumptions, enabling reliable quality assessment without additional physical measurements
2Loss of information
If optical filters with different light transmission characteristics are used in encoding mask, then wavelength information and image detail increase, but system complexity increases
Solution Approach 1:
The patent makes the single encoding mask perform multiple functions by equipping it with both spatial coding and wavelength discrimination capabilities through integrated optical filters. This multi-functionality allows the system to capture spatial and spectral information simultaneously, reducing the need for separate components and lowering overall system complexity
Solution Approach 2:
The patent merges the spatial encoding function and wavelength filtering function into a single integrated encoding mask structure. By combining these functions in one component rather than using separate elements, the system reduces complexity while maintaining the ability to capture detailed spatial and spectral information
Data Source
AI summary
An image processing apparatus includes a storage device storing coding information indicating light transmission characteristics of an encoding mask including optical filters that are arranged in two dimensions and whose light transmission characteristics are different from one another and a signal processing circuit that generates reconstructed images on a basis of a compressed image generated through imaging that employs the encoding mask and the coding information, that estimates an error in the reconstructed images, and that outputs a signal indicating the error.