Phase-Encoded Imaging for Space-Variant Blur Reduction
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Solution Overview
Problem
Conventional image enhancement methods struggle with space variant blur sources, such as coma, astigmatism, and field curvature, which are not effectively addressed by existing space invariant blur reduction techniques, leading to challenges in image restoration due to ill-conditioned algebraic representation matrices and noise sensitivity.
Innovation Solution
The use of a phase encoder within an optical system to modify the algebraic representation matrix, improving its condition number and enabling accurate image restoration by applying a phase correction function to light passing through the system, thereby enhancing the matrix's invertibility and reducing noise sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional imaging systems are used, then device complexity is low, but image quality deteriorates due to space variant blur and ill-conditioned matrices
Solution Approach 1:
A phase encoder is introduced as an intermediary optical element between the object and the image sensor. This phase encoder modifies the wavefront phase to transform space variant blur into a form that can be effectively corrected through computational methods, thereby improving image quality without requiring a completely complex optical system
Solution Approach 2:
The patent replaces complex mechanical optical correction systems with a computational approach. By using phase encoding followed by digital signal processing (deconvolution algorithms), the system achieves space variant blur correction without requiring complex mechanical adjustable optical elements
2Manufacturing precision
If higher numerical aperture is used, then resolution is improved, but luminance becomes weak
Solution Approach 1:
The phase encoder applies a predetermined phase correction function to the incoming light waves before they reach the image sensor. This preliminary phase modification prepares the optical field to maintain higher resolution characteristics even when operated at lower numerical apertures, effectively decoupling the trade-off between resolution and luminance
3Manufacturing precision
If space invariant blur reduction methods are applied, then processing simplicity is maintained, but effectiveness deteriorates for space variant blur
Solution Approach 1:
The phase encoder performs a preliminary action by transforming the space variant blur characteristics into a form that can be handled by computational deconvolution. This pre-processing step enables effective blur reduction while keeping the overall system manageable
Solution Approach 2:
The phase encoder changes the phase parameters of the optical field, converting space variant blur into a form that can be effectively corrected through computational methods. This parameter transformation enables effective blur reduction without requiring overly complex processing algorithms
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The phase encoder system improves image quality by reducing space variant blur, achieving image restoration with enhanced signal-to-noise ratio and resolution, comparable to systems with higher numerical apertures, despite operating under weak luminance conditions.
Implementation Method 1
a phase encoder utility adapted to effect a second Condition Number of an algebraic representation matrix of the imaging device... geometry of the first region and configuration of the first pattern therein being selected to define a predetermined first phase correction function induced by the first pattern onto light passing therethrough
Data Source
AI summary
An imaging device is presented for use in an imaging system capable of improving the image quality. The imaging device has one or more optical systems defining an effective aperture of the imaging device. The imaging device comprises a lens system having an algebraic representation matrix of a diagonalized form defining a first Condition Number, and a phase encoder utility adapted to effect a second Condition Number of an algebraic representation matrix of the imaging device, smaller than said first Condition Number of the lens system.