Image Signal Processor Noise Correction for Multiple ADCs
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Solution Overview
Problem
Image sensors with multiple ADCs face noise issues due to characteristic differences, affecting the quality of digital image signals, particularly in high-speed operations.
Innovation Solution
An electronic device with an image signal processor that calculates correction values based on code values from multiple ADCs, using coefficients proportional to the distance between active and other areas, to produce output code values that reduce noise and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple ADCs are used to process signals simultaneously for high-speed operation, then processing speed is improved, but noise occurs due to characteristic differences of the ADCs
Solution Approach 1:
The patent introduces a correction value as an intermediary element that mediates between the multiple ADCs and the final output. Each ADC's output is adjusted by adding a specific correction value that compensates for the ADC's characteristic differences, thereby eliminating noise while preserving high-speed processing capability
Solution Approach 2:
The patent changes the parameter of each ADC output by adding a correction value that is calculated based on the ADC's position and characteristic differences. This parameter modification (adding correction values) transforms the noisy signals into clean signals while maintaining the high-speed processing advantage
2Measurement precision
If correction values are calculated based on distance-proportional coefficients to reduce noise, then image quality is improved, but calculation complexity increases
Solution Approach 1:
The patent performs preliminary calculation of correction values based on predetermined coefficients that represent distance relationships between ADCs and reference areas. These correction values are prepared in advance or calculated once, and then simply added to the ADC outputs, reducing the complexity of real-time processing while achieving high image quality
Solution Approach 2:
The patent applies different correction values to different ADCs based on their local characteristics and positions. Each ADC receives a tailored correction value that is proportional to its distance from reference areas, allowing precise noise compensation for each ADC without requiring complex global processing
Data Source
AI summary
An electronic device includes an image signal processor and a memory. The image signal processor receives a signal of a first code value that corresponds to an active pixel included in an active area, calculates a correction value based on a second code value associated with a first area and a third code value associated with a second area, and calculates an output code value based on the first code value and the correction value. The first area and the second area are different from the active area. The correction value includes a component of the third code value in proportion to a distance between the active pixel and the first area and includes a component of the second code value in proportion to a distance between the active pixel and the second area.