Image Sensor Lattice Pixel Patterns for 3D Depth and High Resolution
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Solution Overview
Problem
Conventional image sensors face difficulties in reproducing 3D image data and achieving high resolution when used in camera apparatuses.
Innovation Solution
The image sensor incorporates specific color pixel patterns, including first and fourth color pixel patterns with multiple color pixels and second and third color pixel patterns with single structures, such as red and blue pixels, arranged in a lattice form to enhance depth map extraction and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional color pixel patterns are used in image sensors, then the device structure is simple, but the ability to reproduce 3D image data and achieve high resolution is limited
Solution Approach 1:
The image sensor divides the color pixel patterns into four distinct types (first, second, third, and fourth color pixel patterns) arranged in a lattice structure. Each pattern type contains specific color pixels (red, green, blue) in different configurations, allowing the system to extract both color information and depth information separately, thereby enabling 3D image reproduction while maintaining manageable structural complexity
Solution Approach 2:
The patent introduces a fourth dimension (depth) to the traditional 2D color pixel arrangement by using specific lattice patterns that enable depth map extraction. The first and fourth color pixel patterns are configured to capture depth information while the second and third patterns capture color information, transforming the image sensor's capability from purely 2D color capture to 3D spatial-color capture
2Manufacturing precision
If conventional color pixel patterns are used, then the manufacturing process is simple, but high resolution cannot be achieved
Solution Approach 1:
Different regions of the image sensor contain different types of color pixel patterns with specific local characteristics. The first and fourth patterns use multiple color pixels arranged in specific configurations optimized for depth detection, while the second and third patterns use single color pixels (red or blue) optimized for color detection. This local differentiation allows each region to perform its specialized function at high precision
Solution Approach 2:
The lattice structure of color pixel patterns employs asymmetric arrangements where the first and fourth color pixel patterns have different configurations from the second and third patterns. This asymmetry enables the system to distinguish between depth information and color information channels, achieving high resolution in both dimensions through differentiated pixel layouts
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 allows the camera apparatus to effectively extract depth maps and achieve high resolution, enabling the reproduction of 3D image data while maintaining high resolution capabilities.
Implementation Method 1
the image sensor detects color information from an optical signal through the color pixel patterns
Data Source
AI summary
Disclosed are an image sensor and a camera apparatus having the same. The image sensor includes first to fourth color pixel patterns. Each of the first and fourth color pixel patterns includes a plurality of color pixels, and each of the second and third color pixel patterns includes one of a red pixel and a blue pixel. The camera apparatus not only reproduces 3D image data, but also realize high resolution.