Image Noise Compensation via Layer Segmentation
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Solution Overview
Problem
Current de-noising techniques for captured images often smooth out both noise and details, resulting in unsatisfactory results as they fail to completely remove noise while preserving image details.
Innovation Solution
A system and method that separates a captured image into a base layer and a details layer using joint bilateral filtering, where the base layer is derived from both the noisy and de-noised images, and the details layer is calculated by subtracting the base layer from the captured image, then combines these layers to produce an adjusted image with reduced noise and enhanced details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If current de-noising techniques are applied to remove noise from captured images, then noise is reduced, but image details are smoothed out and lost
Solution Approach 1:
The image is segmented into multiple layers including a base layer and detail layers at different scales (first scale and second scale). This segmentation allows independent processing of noise reduction on the base layer while preserving details in the detail layers, resolving the contradiction between noise removal and detail preservation
Solution Approach 2:
Different processing strategies are applied to different parts of the image representation. The base layer undergoes aggressive noise reduction while the detail layers retain their high-frequency information. This local differentiation enables noise removal in smooth regions while preserving edges and fine details
2Object-affected harmful factors
If aggressive noise reduction is applied to captured images, then noise is significantly reduced, but image quality and detail preservation deteriorate
Solution Approach 1:
The image is divided into base layer and detail layers, allowing aggressive noise reduction on the base layer without affecting the quality of detail layers. The multi-scale decomposition enables selective processing that maintains overall image quality while achieving significant noise reduction
Solution Approach 2:
The final processed image is constructed as a composite of the denoised base layer and the original detail layers. This composite structure combines the benefits of noise reduction from the base layer processing with the quality preservation from retaining original detail information
Data Source
AI summary
A system (12) for providing an adjusted image (228) of a scene (10) from a noisy captured image (14) includes a control system (26) that provides the adjusted image (228). The control system (26) can create a de-noised image (238) from the captured image (14), determine a details layer (236) from the captured image (14), and combine information from the details layer (236) with the de-noised image (238) to provide the adjusted image (228).