Image Sensor Attribute Data Merging for Processing Efficiency
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Solution Overview
Problem
Conventional camera systems face inefficiencies in data processing due to the separation of attribute information types for image sensors, requiring cumbersome synchronization processes that reduce system efficiency.
Innovation Solution
A method and device that merge multiple types of attribute information for each pixel into a single data structure, allowing for simultaneous synchronization and processing of pixel data with reduced bandwidth requirements through compression and efficient encoding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple attribute information tables are stored separately in memory, then each type of attribute information can be organized independently, but the synchronization process becomes cumbersome and data processing efficiency decreases
Solution Approach 1:
The patent merges multiple separate attribute information tables (dead-pixel information, phase-focus information, etc.) into a single unified attribute information table. Each row in this table corresponds to one pixel and contains multiple attribute fields, allowing the image processing chip to synchronize all attribute information with pixel data in a single operation, thereby eliminating the need for multiple separate synchronization processes and improving data processing efficiency
2Loss of information
If multiple attribute information tables are read from different memory locations, then comprehensive attribute information can be obtained, but the synchronization process becomes complex and time-consuming
Solution Approach 1:
By combining multiple attribute information tables into one unified table where each row represents a pixel and contains multiple attribute fields (dead-pixel flag, phase-focus information, etc.), the system can retrieve all necessary attribute information for a pixel in a single memory read operation, significantly reducing the time required compared to reading from multiple separate locations
3Ease of manufacture
If separate attribute information tables are used for each pixel attribute, then each attribute can be processed independently, but the overall system complexity increases
Solution Approach 1:
The unified attribute information table structure allows the system to handle multiple attributes through a single synchronization process. The table is designed with fields for different attributes (dead-pixel, phase-focus, etc.) in each row, enabling the image processing chip to process all attributes simultaneously without requiring complex multi-step synchronization procedures
Solution Approach 2:
The unified attribute information table serves multiple functions: it stores dead-pixel information, phase-focus information, and other pixel attributes in a single structure. This multi-functional design eliminates the need for separate processing logic for different attribute types, simplifying the overall system while maintaining the ability to handle each attribute independently when needed
Data Source
AI summary
A data processing method includes obtaining merged attribute information of an image sensor, obtaining pixel data of the image sensor, and processing the pixel data according to the merged attribute information. The merged attribute information includes elements each corresponding to at least one pixel of the image sensor and containing N types of attribute information of the at least one pixel. N is an integer larger than or equal to 2.