Camera Pixel Binning Control for Moire Removal
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Solution Overview
Problem
Existing photographing devices face challenges in achieving high image quality while effectively removing Moire fringes and recovering high-frequency components.
Innovation Solution
A photographing device that utilizes partial binning to form pixel groups, analyzes frequency characteristics through cross-correlation between different pixel groups, and removes Moire fringes or recovers high-frequency components based on analysis results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If binning is applied to improve signal-to-noise ratio and reduce power consumption, then sensitivity and power efficiency are improved, but Moire fringes are generated and high-frequency components are lost
Solution Approach 1:
The pixel array is divided into multiple pixel groups, with different binning patterns applied to different groups. First pixel groups use a first binning pattern while second pixel groups use a second binning pattern, segmenting the uniform binning process into varied regional operations that reduce Moire artifacts while maintaining overall sensitivity benefits
Solution Approach 2:
Different binning patterns are applied to different spatial regions (pixel groups) based on local characteristics. This allows each region to have optimized binning configuration, reducing Moire fringes in certain areas while maintaining high sensitivity in others, rather than applying uniform binning across the entire sensor
2Reliability
If binning is applied to improve signal-to-noise ratio, then sensitivity is improved, but high-frequency components are lost
Solution Approach 1:
The pixel array is segmented into multiple pixel groups with different binning configurations. This segmentation allows preservation of high-frequency information in certain groups while achieving noise reduction in others, preventing complete loss of high-frequency components that would occur with uniform binning across all pixels
Solution Approach 2:
The binning pattern parameters are changed across different pixel groups. By varying the binning configuration (different patterns, different groupings) across the sensor array, the system maintains signal-to-noise ratio improvement while preserving high-frequency spatial information through parameter diversity
3Productivity
If uniform binning is applied across all pixels, then power consumption is reduced and sensitivity is improved, but Moire fringes are generated
Solution Approach 1:
The uniform binning operation is segmented into multiple pixel groups with different binning patterns. This segmentation maintains the high frame rate benefit of binning while reducing Moire fringes through the diversity of patterns applied across different segments of the pixel array
Data Source
AI summary
A photographing device includes: a processor; and a memory storing machine-readable instructions that, when executed by the processor, cause the processor to: acquire first partial binning data based on a first pixel group, in which the first pixel group is formed by binning at least one pixel in a unit pixel group composed of a plurality of grouped pixels; analyze a frequency characteristic of an image signal of a region composed of the unit pixel group based on a cross-correlation between the first partial binning data and second partial binning data based on a second pixel group composed of pixels other than the first pixel group in the unit pixel group; and remove Moire fringes in the region composed of the unit pixel group based on an analysis result.