Imaging Device Remosaic Processing Circuit for Bayer Pattern Conversion
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Solution Overview
Problem
The existing imaging devices face inefficiencies in converting images into Bayer patterns due to the time-consuming nature of remosaic processing, which affects the speed and resolution of the conversion process.
Innovation Solution
An imaging device is designed with a processor that performs remosaic processing using both a first remosaic method and a second remosaic method on different regions of the original image, allowing for efficient generation of a Bayer pattern by merging the processed images, thereby reducing processing time while maintaining high resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If remosaic processing is performed on the entire original image using a single method, then processing simplicity is maintained, but processing time increases and efficiency decreases
Solution Approach 1:
The original image is divided into multiple regions (first region and second region), and remosaic processing is performed on each region using different methods. This segmentation allows the system to apply computationally intensive first remosaic method only to critical regions while using faster second remosaic method on other regions, thereby improving overall processing speed without sacrificing image quality in important areas.
Solution Approach 2:
Different remosaic methods are applied to different regions based on their specific requirements. The first remosaic method is applied to the first region where high quality is prioritized, while the second remosaic method is applied to the second region where processing speed is more important. This local differentiation resolves the contradiction by optimizing both quality and speed in appropriate locations.
2Productivity
If a first remosaic method is used on the first region and a second remosaic method is used on the second region, then processing efficiency is improved, but merging complexity increases
Solution Approach 1:
A merging circuit is introduced as an intermediary component that handles the integration of remosaic images from different regions processed by different methods. This dedicated merging circuit simplifies the overall system architecture by providing a specialized component for the merging task, rather than requiring complex integration logic throughout the system.
Solution Approach 2:
The solution adds a new dimension to the processing pipeline by introducing a separate merging stage that operates after regional remosaic processing. This dimensional separation allows independent optimization of regional processing methods while handling integration challenges in a dedicated stage, thus improving efficiency without overwhelming complexity.
3Manufacturing precision
If high resolution is maintained through comprehensive remosaic processing, then image quality is improved, but processing time increases
Solution Approach 1:
Instead of applying the computationally intensive first remosaic method to the entire image, the system applies it partially only to the first region where high resolution is most critical. The second region uses the faster second remosaic method, which provides sufficient resolution for less critical areas. This partial application of the superior method maintains overall image quality while significantly reducing processing time.
Solution Approach 2:
The image is segmented into regions with different quality requirements, allowing the system to allocate processing resources accordingly. Critical regions receive intensive remosaic processing for high resolution, while non-critical regions use faster processing, thus achieving a balance between overall image quality and processing time.
Data Source
AI summary
An image processing device is provided. The imaging device includes: an image sensor configured to generate an original image; and a processor including: a remosaic processing circuit configured to generate a first remosaic image by performing remosaic processing on a first region of the original image by using a first remosaic method, and generate a second remosaic image by performing remosaic processing on a second region of the original image by using the first remosaic method or a second remosaic method; and a merging circuit configured to generate a converted image having a Bayer pattern based on the first remosaic image and the second remosaic image.