Phase Detection Data Encoding for Low-Power Image Processing
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Solution Overview
Problem
The increasing resolution of image sensors in image capture devices leads to higher power consumption due to the large amount of data being processed and transmitted, which shortens battery life in mobile devices.
Innovation Solution
Compressing phase detection data using lossless compression techniques based on correlation within and between channels to reduce the amount of data transmitted and stored, thereby reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher resolution image sensors are used to capture more image data, then image quality and resolution are improved, but power consumption increases
Solution Approach 1:
The patent segments phase detection data into multiple channels (first channel, second channel, etc.) and processes each channel separately through independent coding paths. This segmentation allows for more efficient compression by exploiting correlations within and between channels, reducing the overall data volume that needs to be processed and transmitted, thereby lowering power consumption while maintaining autofocus functionality.
Solution Approach 2:
The patent applies different coding parameters and compression techniques to different channels of phase detection data. By analyzing correlations between channels and adjusting coding strategies accordingly, the system optimizes the balance between data fidelity and compression ratio, reducing the amount of data processed without significantly impacting autofocus performance.
2Measurement precision
If more phase detection data is transmitted and processed, then autofocus accuracy is improved, but data transmission power consumption increases
Solution Approach 1:
The patent applies different processing quality levels to different channels of phase detection data based on their individual characteristics and correlation patterns. Channels with higher correlation to reference data receive more aggressive compression, while channels requiring higher fidelity maintain better quality. This local quality adjustment reduces overall data transmission volume while preserving the critical information needed for accurate autofocus.
3Quantity of substance
If phase detection data is compressed by separately coding channels, then data volume is reduced, but processing complexity increases
Solution Approach 1:
The patent divides phase detection data into separate channels and processes each channel independently through dedicated coding paths. This segmentation transforms a complex monolithic processing problem into multiple simpler, parallel processing tasks. Each channel can be compressed using optimized techniques tailored to its specific characteristics, reducing overall data volume while keeping individual processing units relatively simple and manageable.
Data Source
AI summary
This disclosure provides systems, methods, and devices for image signal processing that support compression of phase detection (PD) data. In a first aspect, a method of image processing includes receiving image data and first phase detection data corresponding to the image data; determining a first channel of the first phase detection data and a second channel of the first phase detection data; and coding the first phase detection data to determine second phase detection data by separately coding the first channel and the second channel. Other aspects and features are also claimed and described.