Color Filter Array Spatial Frequency Design for Moire Reduction

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Solution Overview

Problem

Conventional color image sensors using regular arrays of color filters, such as the Bayer array, face challenges in simultaneously preventing color moire and improving image resolution, often requiring optical low-pass filters that deteriorate image quality and introduce noise components due to non-uniform spatial frequency.

Innovation Solution

A color imaging apparatus with a photoelectric conversion element group and color filters arranged to reduce low-frequency components and increase high-frequency components, utilizing interpolation processing to generate image signals, thereby reducing color moire and noise without the need for optical low-pass filters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If a regular array of color filters (e.g., Bayer array) is used, then color filter processing can be performed, but color moire is generated and image resolution deteriorates

Engineering Contradiction:
Improvecolor filter processing capabilityVSAvoidimage resolution
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

The patent applies asymmetry by using a random array instead of a regular periodic array for color filters. This random arrangement breaks the spatial regularity that causes color moire patterns, while still maintaining the ability to perform color filter processing through subsequent interpolation operations.

Inventive Principle:
Principle #4Asymmetry

Solution Approach 2:

The patent introduces dynamic elements by using multiple candidate random arrays and selectively applying different arrays for different color components (R, G, B). This dynamic selection approach optimizes the balance between preventing color moire and maintaining image resolution across different spatial frequencies.

Inventive Principle:
Principle #15Dynamics

2Object-affected harmful factors

If an optical low-pass filter is added to prevent color moire, then color moire is reduced, but image resolution deteriorates and noise components increase

Engineering Contradiction:
Improvecolor moire reductionVSAvoidimage resolution
Core Design Contradiction:
Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The patent extracts and removes the optical low-pass filter from the imaging system entirely. Instead of using physical filtering, the invention achieves color moire prevention through software-based interpolation processing on signals from randomly arranged color filters, thereby avoiding the resolution loss and noise introduction caused by optical filters.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces the mechanical/optical low-pass filter with a digital signal processing approach. By using interpolation algorithms to reconstruct full-color images from the random array sensor data, the system achieves moire prevention without the physical constraints and quality degradation imposed by optical filtering.

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

3Object-affected harmful factors

If a random array of color filters is used, then color moire is suppressed, but noise components are introduced due to non-uniform spatial frequency

Engineering Contradiction:
Improvecolor moire suppressionVSAvoidnoise components
Core Design Contradiction:
Object-affected harmful factorsVSObject-generated harmful factors

Solution Approach 1:

The patent changes the spatial frequency distribution parameters by carefully designing the random array to achieve uniform spatial frequency characteristics. This parameter optimization ensures that the random arrangement suppresses color moire while maintaining uniform noise distribution across the frequency spectrum, preventing excessive noise in specific frequency regions.

Inventive Principle:
Principle #35Parameter changes

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 solution effectively reduces color moire and noise in captured images while maintaining or improving image resolution, ensuring high-quality imaging without the drawbacks of conventional optical low-pass filters.

Implementation Method 1

a photoelectric conversion element group having a plurality of photoelectric conversion elements

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Implementation Method 2

color filters of at least two colors arranged on respective photoelectric conversion elements

Methodology Applied
Scientific EffectColor filter processing: Absorption (EM radiation)

Data Source

PatentUS8049797B2Image sensor and color imaging apparatus
Publication Date: 2011.11.01 CANON KK
  • US8049797B2 patent drawing
  • US8049797B2 patent drawing
  • US8049797B2 patent drawing

AI summary

An image sensor includes a photoelectric conversion element group, and color filters of at least two colors arranged on respective photoelectric conversion elements of the photoelectric conversion element group. The color filters are arranged on the respective photoelectric conversion elements such that a spatial frequency component of array of color filters of each color includes a reduced amount of component in a low-frequency region and a band component in a high-frequency region.