Cinematic Volume Rendering Noise Suppression via Monte Carlo Path Tracing
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Solution Overview
Problem
Existing noise reduction and image enhancement methods for 3D images fail to effectively suppress noise and enhance structural details without blurring the image, as they often rely on conventional signal processing techniques that are not suitable for all types of noise.
Innovation Solution
The method employs Monte Carlo path tracing based cinematic volume rendering to generate realistic 3D image filtering, using a non-linear projection operator to suppress noise and enhance structures of interest by averaging multiple light path estimates and applying an anisotropic noise filter, which can be implemented in a cloud computing system for real-time processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional smoothing filters are used for noise reduction, then noise is reduced, but image detail and edges become blurred
Solution Approach 1:
The patent segments the image processing into multiple passes: first applying a coarse smoothing filter to reduce noise, then applying a fine detail enhancement filter to restore edges and structures. This multi-stage segmentation allows noise reduction without permanent blurring of important features.
Solution Approach 2:
The patent applies different filtering operations to different regions of the image based on local characteristics. Edge detection algorithms identify regions containing important structural information, and these regions receive different treatment compared to homogeneous regions, preserving local detail while reducing noise in appropriate areas.
2Object-affected harmful factors
If anisotropic diffusion method is used, then noise is reduced without blurring edges, but computational complexity increases
Solution Approach 1:
The patent uses computationally inexpensive filtering operations that can be applied multiple times in sequence rather than one complex anisotropic diffusion process. These simpler filters are discarded and reapplied in different stages, achieving similar noise reduction效果 with lower computational cost per operation.
Solution Approach 2:
The patent applies filtering operations continuously across multiple passes and stages rather than using a single complex operation. The filtering process is sustained through iterative application of simpler operations, maintaining noise reduction effectiveness while distributing computational load.
3Manufacturing precision
If median filter is used, then image detail is preserved, but it is only effective for salt-and-pepper noise
Solution Approach 1:
The patent creates a universal filtering system that can handle multiple noise types by combining different filtering operations. The system selects and applies appropriate filters based on the detected noise characteristics, making it effective for Gaussian noise, salt-and-pepper noise, and other noise types rather than being limited to a single noise type.
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on the type and amount of noise detected in different regions of the image. By changing filter strength, kernel size, and filter type according to local noise characteristics, the system adapts to handle various noise types effectively while preserving image detail.
Data Source
AI summary
A method and apparatus for volume rendering based 3D image filtering and real-time cinematic volume rendering is disclosed. A set of 2D projection images of the 3D volume is generated using cinematic volume rendering. A reconstructed 3D volume is generated from the set of 2D projection images using an inverse linear volumetric ray tracing operator. The reconstructed 3D volume inherits noise suppression and structure enhancement from the projection images generated using cinematic rendering, and is thus non-linearly filtered. Real-time volume rendering can be performed on the reconstructed 3D volume using volumetric ray tracing, and each projected image of the reconstructed 3D volume is an approximation of a cinematic rendered image of the original volume.