Image Noise Evaluation in CMOS Image Processors
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Solution Overview
Problem
Highly integrated and fast CMOS image sensors are susceptible to noise, leading to image deterioration.
Innovation Solution
An image processor capable of evaluating noise qualitatively and quantitatively by generating quantified characteristic values and determining noise presence based on image values, using an analyzer and discriminator to model and quantify noise independent of data components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image sensors are made more highly integrated and faster, then productivity and speed are improved, but noise susceptibility increases and image quality deteriorates
Solution Approach 1:
The patent segments the image signal into distinct components: noise components and non-noise components. By separating these elements through signal processing techniques, the system can evaluate and handle noise independently while preserving the useful image data, thus resolving the contradiction between high-speed operation and noise susceptibility
Solution Approach 2:
The patent introduces an intermediary noise evaluation system that acts as a mediator between the image sensor and final image output. This intermediary system quantifies noise characteristics and enables appropriate processing to mitigate noise effects while maintaining the benefits of high-speed, highly integrated operation
2Speed
If image sensors operate at higher speeds, then productivity is improved, but noise increases leading to image deterioration
Solution Approach 1:
The patent implements a feedback mechanism where noise is continuously evaluated and quantified based on image signal characteristics. This feedback information is then used to adjust processing parameters and apply appropriate noise mitigation techniques, allowing the system to maintain high operating speeds while compensating for noise through closed-loop control
Solution Approach 2:
The patent changes processing parameters dynamically based on evaluated noise characteristics. By adjusting processing parameters according to quantified noise levels, the system can optimize performance for different operating conditions, maintaining high speed operation while adapting to varying noise levels through parameter modification
Data Source
AI summary
Disclosed is an image processor and an image processing system including the same. The image processor includes an analyzer configured to generate quantified characteristic values of noise reflected in a captured image based on image values corresponding to the captured image, and a discriminator configured to determine whether the noise has occurred in the captured image based on the characteristic values.