Image Sensor MLA Coding for Compact High-Resolution Reconstruction

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Solution Overview

Problem

Existing image capturing devices face challenges in reducing volume while maintaining sensitivity and resolution, particularly when using compact lenses, due to limitations in lens and sensor size and alignment.

Innovation Solution

The implementation of a multi-lens array (MLA) with a mask array between the imaging lens and sensing array, combined with a condensing lens array, allows for fractional alignment of lens and sensing elements, and a processor for image restoration through frequency domain processing to achieve high-resolution images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Volume of moving object

If the size of the lens decreases to reduce device volume, then the focal length decreases and device volume is reduced, but the sensitivity and resolution of the image sensor deteriorate

Engineering Contradiction:
Improvedevice volumeVSAvoidimage resolution
Core Design Contradiction:
Volume of moving objectVSMeasurement precision

Solution Approach 1:

The patent divides the single lens into multiple lens elements (lens array) and the sensor into multiple sensing elements arranged in specific patterns. This segmentation allows each element to be smaller while collectively maintaining the resolution and sensitivity of the overall system, resolving the contradiction between reduced lens size and maintained image quality.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a mask array with coded aperture patterns that modulates light in the optical path between the lens array and sensor. This adds a dimensional layer of optical coding that enables high-resolution image reconstruction from multiple lower-resolution measurements, allowing smaller lenses to achieve high resolution through computational optics.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Volume of moving object

If compact lenses are used to reduce device volume, then the focal length decreases, but alignment precision between lens and sensor elements becomes more difficult to maintain

Engineering Contradiction:
Improvedevice volumeVSAvoidalignment precision
Core Design Contradiction:
Volume of moving objectVSManufacturing precision

Solution Approach 1:

The patent employs self-aligning mechanisms where the mask array and lens array are designed with corresponding periodic patterns that automatically align during assembly. The coded aperture patterns in the mask array correspond to the lens element arrangement, creating self-correcting alignment features that reduce manufacturing precision requirements.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent uses computational image processing and algorithms that can compensate for misalignment parameters. By changing from precise mechanical alignment to computational correction, the system tolerates larger alignment variations while maintaining image quality, thus reducing manufacturing precision requirements.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If a mask array is introduced to achieve high-resolution image reconstruction, then image resolution improves, but device complexity increases

Engineering Contradiction:
Improveimage resolutionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges the mask array functionality with the existing lens array and sensor structure. The mask array is integrated into the optical path between the lens array and sensor, combining multiple optical functions (light modulation, spatial encoding) into a single compact component that does not significantly increase overall device complexity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent replaces complex mechanical alignment and focusing mechanisms with a simpler mask array and computational image processing system. The coded aperture patterns in the mask array enable high-resolution reconstruction through software algorithms rather than requiring complex mechanical precision, reducing overall device complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

This configuration enables high-resolution image reconstruction by rearranging pixel positions based on overlapping light field information, reducing the device's focal length and volume while enhancing sensitivity and resolution.

Implementation Method 1

a plurality of two dimensionally arranged photoelectric conversion elements for converting incident light into electrical signals

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Implementation Method 2

a color filter provided above the sensing array and configured to filter light of a portion of wavelength bands from light incident on each of the plurality of sensing elements

Methodology Applied
Scientific EffectOptical filtering: Filter (optical)

Implementation Method 3

a condensing lens array provided above the sensing array

Methodology Applied
Scientific EffectLight focusing: Lens

Data Source

PatentEP3910385B1Image sensor
Publication Date: 2025.07.30 SAMSUNG ELECTRONICS CO LTD
  • EP3910385B1 patent drawingFigure 1A
  • EP3910385B1 patent drawingFigure 1B
  • EP3910385B1 patent drawingFigure 2

AI summary

An imaging device may code light, passing through an imaging optical lens arranged in a multi-lens array (MLA), and may transmit the light to a sensing element, and the sensing element may restore an image based on sensed information.