Image Sensor Gain Table Conversion for Grid Noise Cancellation
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Solution Overview
Problem
Current image sensing devices face challenges in effectively canceling grid noise, particularly maze noise caused by color imbalance between pixels, which affects image quality and processing efficiency.
Innovation Solution
An image sensing device and method that utilize a gain table generator to create a gain table from pixel values in a region of interest, convert it into a target table with lower resolution, and apply calibration to cancel noise, using statistical representative values to reduce color disparity and grid noise through a calibrator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a gain table is generated using pixel values from a region of interest to cancel grid noise, then noise cancellation performance is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent divides the image into multiple regions of interest (ROIs) and generates separate gain tables for each ROI. This segmentation allows parallel processing of different regions, reducing overall processing time while maintaining effective noise cancellation in each specific region where grid noise patterns may differ
Solution Approach 2:
The patent performs preliminary analysis to identify grid noise patterns and determines optimal ROI locations before generating gain tables. By pre-processing to locate regions with significant grid noise and preparing processing structures in advance, the system reduces the computational burden during actual noise cancellation operations
2Stability of the object's composition
If statistical representative values are used to generate gain tables, then color disparity between pixels is reduced, but manufacturing precision requirements increase
Solution Approach 1:
The patent transforms physical pixel variations into a mathematical parameter space by calculating statistical representative values (mean, median) for groups of pixels. This parameter transformation allows software-based compensation for manufacturing variations, effectively decoupling color uniformity from strict manufacturing precision requirements
Solution Approach 2:
The patent creates virtual copies of pixel data in the form of gain tables that represent ideal color responses. These gain tables serve as reference models that are applied to correct actual pixel values, allowing the system to achieve color uniformity through software correction rather than requiring perfect manufacturing consistency
Data Source
AI summary
Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.