Image Data Processing via Pixel Array Dimensionality Shift
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image data processing methods struggle with phase artifacts and resolution loss due to the arrangement of color filters and microlenses in image sensors, particularly in color filter arrays (CFAs), which affect the accuracy and quality of image reproduction.
Innovation Solution
A method for processing image data from CFAs that involves converting N×N pixel data into (N−L)×(N−M) data and then reconstructing it back to N×N data using binning and interpolation techniques, effectively removing phase artifacts and utilizing full pixel information to maintain resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color filter array with microlens is used for color reproduction, then color accuracy is improved, but phase artifacts occur and resolution is lost
Solution Approach 1:
The patent segments the image data processing into two distinct stages: first converting N×N pixel data into (N−L)×(N−M) downsampled data, then reconstructing back to N×N resolution. This segmentation allows separate optimization of color accuracy in the downsampling phase and resolution recovery in the reconstruction phase, resolving the contradiction between color fidelity and detail preservation
Solution Approach 2:
The patent transforms the problem from direct spatial domain processing to a dimensionality-shifted approach by converting to a smaller array dimension ((N−L)×(N−M)), processing, then expanding back. This dimensional transformation enables full utilization of pixel information while eliminating phase artifacts, achieving both color accuracy and resolution simultaneously
2Object-affected harmful factors
If conventional downsampling is performed to remove phase artifacts, then phase artifacts are reduced, but resolution is lost
Solution Approach 1:
The patent temporarily discards spatial resolution during the downsampling conversion to (N−L)×(N−M) array, which effectively removes phase artifacts. Then in the reconstruction stage, it recovers the full N×N resolution by interpolating from the artifact-free downsampled data, achieving both phase artifact removal and resolution preservation
Solution Approach 2:
The patent performs preliminary downsampling to (N−L)×(N−M) dimensions before reconstruction, removing phase artifacts in advance. This preliminary action creates a clean intermediate representation that enables perfect reconstruction without phase artifacts, resolving the contradiction between artifact removal and resolution maintenance
Data Source
AI summary
A method of processing image data includes: receiving image data from a color filter array including N×N same color pixels; converting first pixel data in an N×N array into second pixel data in an (N−L)×(N−M) array, wherein the first pixel data is output from the N×N same color pixels; and generating third pixel data in the N×N array by performing reconstruction on the second pixel data, wherein each of “L” and “M” is a natural number that is greater than or equal to 1 and less than N, and “N” is a natural number that is greater than or equal to 2.