Image Processing Device Color Noise Suppression
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Solution Overview
Problem
Existing image processing methods fail to effectively suppress color noise in visible images under low illuminance conditions, leading to reduced visibility in synthetic images.
Innovation Solution
An image processing device and method that separates luminance and color components from both visible and invisible images, performs gain adjustments on detail components, and combines them to generate a synthetic image with reduced color noise influence, using a combination of image sensors with infrared, red, green, and blue pixels to capture images in different wavelength ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color components from visible images are directly used for image synthesis, then color information is preserved, but color noise is not suppressed sufficiently leading to reduced visibility
Solution Approach 1:
The patent segments the visible image into luminance component and color component separately. The luminance component is further divided into base component and detail component. This segmentation allows selective processing where color noise suppression is applied to the color component while preserving the detail information from the luminance component, thereby resolving the contradiction between preserving color information and suppressing color noise.
Solution Approach 2:
The patent extracts the color component from the visible image and processes it separately to suppress color noise. By taking out the color component independently, the system can apply noise suppression algorithms specifically to this component without affecting the overall image quality or losing important color information, thus improving visibility while maintaining color accuracy.
2Object-affected harmful factors
If multiple image components are separated and processed separately, then color noise suppression is improved, but processing complexity increases
Solution Approach 1:
While segmentation increases processing steps, the patent implements it through a structured approach where each component (luminance base, luminance detail, color) is processed with optimized algorithms. The segmentation enables parallel processing of different components, which can be implemented efficiently in hardware or software, thus managing the complexity while achieving superior color noise suppression.
Solution Approach 2:
The patent introduces an intermediary processing stage where the separated components are recombined after individual processing. This intermediary step acts as a mediator that coordinates the multiple processing operations, managing the complexity by providing a clear framework for how components interact and are reassembled, making the overall complex process more manageable and systematic.
Data Source
AI summary
An image processing device includes an invisible image filter separator that separates an invisible detail component, a visible image filter separator that separates a visible base component and a visible detail component, a base luminance color separator that separates a visible luminance base component and a visible color base component, a detail luminance color separator that separates a visible luminance detail component, a detail synthesizer that generates a synthetic luminance detail component, a synthetic luminance component generator that generates a synthetic luminance component, and a luminance color synthesizer that generates a synthetic image.