Multi-Channel Pixel Fusion Alignment for Artifact-Free Image Processing
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Solution Overview
Problem
Existing image sensors in mobile terminals face complex reading designs that result in image artifacts when fusing data from multiple channels, leading to poor image quality.
Innovation Solution
The method involves separating image data into first and second pixel images using a preset reading mode, aligning and fusing the first pixel images to obtain a processed pixel image and aligning model, processing the second pixel images based on the aligning model and fusing parameter, and synthesizing these images to generate a target image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple channels are used to read image data from the image sensor, then the image quality is improved, but the reading design becomes too complex and image artifacts occur during fusion
Solution Approach 1:
The patent segments the image data from multiple channels into first pixel images and second pixel images based on a preset reading mode. This segmentation allows independent processing of different pixel types (e.g., color pixels and panchromatic pixels), simplifying the reading design while maintaining the benefits of multi-channel data fusion.
Solution Approach 2:
The patent introduces an aligning model as an intermediary to coordinate the fusion of first and second pixel images. The aligning model calculates alignment parameters that synchronize pixel positions across different channels, enabling artifact-free fusion without requiring complex reading design.
2Manufacturing precision
If multiple channels are used to read image data from the image sensor, then the image quality is improved, but image artifacts occur during fusion
Solution Approach 1:
The patent performs alignment operations as a preliminary action before fusing pixel images from multiple channels. By calculating alignment parameters in advance using the aligning model, the system ensures that pixels from different channels are properly synchronized, preventing misalignment artifacts in the final fused image.
Solution Approach 2:
The patent employs feedback mechanisms where the aligning model continuously adjusts alignment parameters based on the characteristics of first and second pixel images. This feedback loop ensures that fusion operations maintain high image quality by dynamically compensating for channel-specific variations and preventing artifact generation.
3Manufacturing precision
If pixel images from multiple channels are fused, then the image quality is improved, but pixel deviations and color discrepancies occur
Solution Approach 1:
The patent changes the parameters of pixel images by applying alignment transformations based on the aligning model. The model calculates specific alignment parameters (such as offset, rotation, and scaling) that correct pixel deviations and color discrepancies, ensuring precise fusion of multi-channel data while maintaining measurement accuracy.
Data Source
AI summary
An image processing method is provided. The method includes obtaining (S11) a plurality of first pixel images and a plurality of second pixel images by acquiring image data of an image sensor based on a preset image reading mode; obtaining (S12) a first processed pixel image, an aligning model, and a fusing parameter by aligning and fusing the first pixel images; obtaining (S13) a second processed pixel image by processing the second pixel images based on the aligning model and the fusing parameter respectively; and obtaining (S14) a target image by synthesizing the first processed pixel image and the second processed pixel image. Also disclosed are an image processing apparatus 10, an electronic device 100, and a computer readable storage medium.