Image Sensor Pixel Density Distribution Control for Variable Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image acquisition technologies face challenges in achieving high image resolution without increasing the size of the image, leading to higher resource loads for storage and transmission bandwidth, as they often require uniform pixel density across all regions of an image.
Innovation Solution
An image acquisition control method and apparatus that adjusts pixel density distribution of an image sensor based on target pixel density distribution information, allowing for differentiated resolution in different regions of an image, thereby optimizing pixel utilization and reducing resource demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an image sensor with higher pixel density is adopted to improve image resolution, then image quality is improved, but image size increases accordingly
Solution Approach 1:
The patent applies local quality by adjusting pixel density distribution to be non-uniform across different regions of the image sensor. High pixel density is concentrated in regions of interest (such as the center or areas with important content), while lower pixel density is used in less important regions. This allows the image to achieve high resolution where needed without uniformly increasing pixel density across the entire sensor, thereby improving image quality in critical areas while controlling overall image size.
2Measurement precision
If an image sensor with higher pixel density is adopted to improve image resolution, then measurement precision is improved, but resource load for storage and transmission bandwidth increases
Solution Approach 1:
The patent reduces resource load by implementing local quality enhancement only in regions where high resolution is necessary. By concentrating pixel density in regions of interest rather than uniformly distributing high pixel density across the entire image, the total number of pixels is reduced, which directly decreases storage requirements and transmission bandwidth needs while maintaining high measurement precision in critical areas.
3Ease of manufacture
If uniform pixel density distribution is used across the image sensor, then ease of manufacture is maintained, but adaptability to different application demands is reduced
Solution Approach 1:
The patent applies dynamics by making the pixel density distribution adjustable and adaptable to different application scenarios. The image sensor can dynamically adjust its pixel density distribution according to different regions of interest or application requirements, transitioning from a static uniform distribution to a dynamic non-uniform distribution. This enhances adaptability to diverse application demands while maintaining reasonable ease of manufacture through controlled non-uniformity.
Solution Approach 2:
The patent resolves the contradiction between ease of manufacture and adaptability by implementing local quality variations in pixel density. Rather than requiring completely different sensor designs for different applications, the system achieves adaptability by locally adjusting pixel density in specific regions while maintaining overall manufacturing feasibility. This allows a single sensor design to serve multiple application scenarios with different resolution requirements.
Data Source
AI summary
Various image acquisition control methods and apparatuses, and various image acquisition devices are disclosed. One of the image acquisition control methods comprises: acquiring target pixel density distribution information of an image to be acquired; adjusting pixel density distribution of an image sensor according to the target pixel density distribution information; and acquiring the image to be acquired according to the adjusted image sensor. Technical solutions provided can fully utilize integral pixels of an image sensor to achieve differentiated resolution of different displayed regions of an acquired image, improve efficiency of image acquisition, and/or better satisfy diversified application demands of a user.