Image Sensor Edge Color Filter Thickness for Channel Uniformity

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Solution Overview

Problem

Current image sensors face challenges in achieving optimal optical properties, particularly in the arrangement and thickness of color filters, which can lead to channel differences and image quality issues due to varying incident angles and light transmission.

Innovation Solution

The image sensor design incorporates a semiconductor substrate with a pixel array region featuring center and edge pixel regions, where color filter groups on the edge pixel regions have varying thicknesses of color filters to ensure consistent optical paths and prevent channel differences, with micro lenses covering these filter groups to enhance light focusing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If color filters in edge color filter groups have the same thickness, then manufacturing is simpler, but channel differences occur and image quality deteriorates

Engineering Contradiction:
Improvemanufacturing simplicityVSAvoidoptical consistency
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

The patent applies local quality by differentiating the thickness of color filters based on their position within color filter groups. Specifically, in edge color filter groups, at least two color filters have different thicknesses compared to other color filters in the same group. This local differentiation compensates for optical path differences caused by oblique light incidence at edge regions, thereby improving image quality and reducing channel differences without requiring complete redesign of the entire sensor structure.

Inventive Principle:
Principle #3Local quality

2Reliability

If color filters have varying thicknesses to compensate for incident angle differences, then optical properties improve, but device complexity increases

Engineering Contradiction:
Improveoptical performanceVSAvoidfilter structure complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements local quality by applying thickness variations only to color filters in edge color filter groups, while center color filter groups maintain uniform thickness. This targeted approach improves optical performance specifically where needed (at the edges where oblique incidence occurs) without unnecessarily complicating the entire filter structure, thus balancing reliability improvement with controlled device complexity.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the color filter array into center color filter groups and edge color filter groups, applying different thickness configurations to each segment. This segmentation allows the invention to optimize optical performance in edge regions without affecting the simplicity and performance of center regions, thereby improving overall optical reliability while minimizing the increase in device complexity.

Inventive Principle:
Principle #1Segmentation

3Manufacturing precision

If all color filters have uniform thickness, then manufacturing precision is easier to maintain, but channel differences cause image quality issues

Engineering Contradiction:
Improvethickness uniformityVSAvoidimage quality
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent resolves this contradiction by applying local quality differentiation: color filters in edge color filter groups have varying thicknesses to compensate for oblique light incidence, while color filters in center color filter groups maintain uniform thickness. This approach ensures that manufacturing precision remains manageable in the majority of the sensor area while improving image quality and reducing channel differences in the critical edge regions.

Inventive Principle:
Principle #3Local quality

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 design improves the optical properties of the image sensor by ensuring consistent light transmission and reducing channel differences, thereby enhancing image quality and performance.

Implementation Method 1

a photoelectric conversion region in the pixel array region, the photoelectric conversion region including impurities of a second conductivity type

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Implementation Method 2

micro lenses covering the color filter groups, respectively

Methodology Applied
Scientific EffectLight focusing: Lens

Data Source

PatentUS20250022896A1Image sensor
Publication Date: 2025.01.16 SAMSUNG ELECTRONICS CO LTD
  • US20250022896A1 patent drawing
  • US20250022896A1 patent drawing
  • US20250022896A1 patent drawing

AI summary

An image sensor includes: a semiconductor substrate including a pixel array region, the pixel array region including a center pixel region and an edge pixel region enclosing the center pixel region in a plan view; color filter groups on the pixel array region, each color filter group of the color filter groups including color filters arranged in a same number of rows and columns; and micro lenses covering the color filter groups, respectively, wherein the color filter groups include center color filter groups on the center pixel region and edge color filter groups on the edge pixel region, and at least two color filters of the color filters in each of the edge color filter groups have thicknesses that are different from each other.