Image Sensor Pixel Density Adjustment for Zone-Specific Blur
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Solution Overview
Problem
Existing image capture technologies face challenges in optimizing pixel utilization due to varying imaging quality requirements across different zones of a shooting scene, leading to potential pixel waste when high pixel density is applied to areas that cannot achieve clear imaging.
Innovation Solution
An image capture control method and apparatus that determine an allowable image blur zone within a shooting scene and adjust pixel density distributions in the image sensor to allocate fewer pixels to this zone, allowing more pixels to be used for clearer areas, thereby improving overall imaging quality and reducing resource wastage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pixel density is uniformly distributed across the entire image sensor, then all zones are captured with consistent detail, but pixels are wasted in zones where high clarity is not required
Solution Approach 1:
The patent applies local quality by differentiating pixel density across different zones of the image sensor. The image sensor is divided into a first zone and a second zone, where the first zone has a lower pixel density and the second zone has a higher pixel density. This allows each zone to have the appropriate level of detail according to its specific requirements, improving overall pixel utilization efficiency while meeting diverse imaging needs.
2Reliability
If more pixels are allocated to the allowable image blur zone, then imaging requirements for that zone are met, but pixel resources are wasted and imaging quality in other zones deteriorates
Solution Approach 1:
The patent segments the image sensor into distinct zones with different pixel density allocations. By dividing the sensor into a first zone (allowable image blur zone) and a second zone (high clarity zone), the system can independently optimize pixel allocation for each segment. This ensures that imaging requirements for the first zone are met with sufficient pixels while concentrating remaining pixel resources in the second zone to maintain high imaging quality.
3Productivity
If pixel density is reduced in the allowable image blur zone, then pixel resources are freed for other zones, but imaging quality in the blur zone deteriorates
Solution Approach 1:
The patent applies partial action by providing just sufficient pixel density in the first zone to meet the allowable image blur requirements, rather than uniformly high pixel density throughout. This partial allocation in the first zone frees up pixel resources that are then concentrated in the second zone, achieving optimal overall pixel resource allocation efficiency while maintaining acceptable imaging quality in the first zone.
Data Source
AI summary
Embodiments of the present application disclose various image capture control methods and apparatuses. One of the image capture control methods comprises: determining a first zone as an allowable image blur zone, the first zone being a part of a shooting scene; determining a first imaging region that corresponds to the allowable image blur zone in an image sensor; adjusting a first pixel density distribution of the first image sensor, to cause the first pixel density of the imaging region to be lower than a second pixel density of a second imaging region in the image sensor after being adjusted; and performing, by using the image sensor after being adjusted, image capture on the shooting scene. In the embodiments of the present application, pixel waste possibly caused by image capture of an allowable image blur zone in a shooting scene may be reduced, so as to fully utilize pixel resources of the image sensor to improve imaging quality of a second zone in the shooting scene, thereby better satisfying a user's diversified actual application demands.