Image Processor Depth Map Generation Using Multi-Sensor Segmentation
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Solution Overview
Problem
Existing image processing systems that generate depth maps using a single image sensor have limited depth ranges, which restricts their ability to accurately capture depth information across a wide range of distances.
Innovation Solution
The proposed image processing system employs two image sensors capturing scenes with a predetermined time difference and an image processor that generates three depth maps: a first depth map for short distances, a second depth map for longer distances using both image sets, and a combined third depth map that integrates the first two to achieve a wider depth range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single image sensor is used to generate a depth map, then the device complexity is reduced, but the depth range is limited
Solution Approach 1:
The patent divides the depth mapping task into multiple segments by using multiple image sensors, each optimized for specific depth ranges. The first image sensor captures images for near-field depth mapping, while the second image sensor captures images for far-field depth mapping. This segmentation allows each sensor to specialize in its optimal range, thereby extending the overall depth range without requiring a single complex sensor system.
Solution Approach 2:
The patent merges the depth maps generated from multiple image sensors by combining the first depth map (from near-field sensor) and the second depth map (from far-field sensor) into a unified third depth map. This merging process integrates the advantages of multiple sensors, achieving an extended depth range that covers both near and far fields while maintaining the benefits of simplified individual sensor designs.
2Measurement precision
If multiple image sensors are used to extend depth range, then the depth range is improved, but the device complexity increases
Solution Approach 1:
The patent segments the imaging system into multiple specialized image sensors, each designed for specific depth ranges. This segmentation allows the system to achieve extended depth range by distributing the functional requirements across multiple simpler sensors rather than requiring a single complex sensor capable of handling all depth ranges simultaneously.
Solution Approach 2:
The patent implements a multi-functional image processing system where multiple image sensors work together to provide both near-field and far-field depth mapping capabilities. The system achieves universality by combining the outputs of specialized sensors through a processing unit that integrates multiple depth maps into a comprehensive depth representation, thereby extending depth range while maintaining manageable complexity through functional distribution.
Data Source
AI summary
Disclosed is an image processor and an image processing system including the same. The image processor may include a first depth map generator configured to generate a first depth map having a first depth range corresponding to a first distance, based on first image values; a second depth map generator configured to generate a second depth map having a second depth range corresponding to a second distance longer than the first distance, based on the first image values and second image values; and a third depth map generator configured to combine the first depth map and the second depth map to generate a third depth map having a third depth range corresponding to the first and second distances.