Double Motion Vector Confirmation for Occluded Region Detection
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Solution Overview
Problem
Existing frame interpolation methods face difficulties in accurately estimating motion vectors for occluded regions in images, where background areas become covered or uncovered by moving objects, leading to flickering artifacts and poor image quality.
Innovation Solution
The method employs a double confirmation process of motion vectors by comparing vectors between phases to determine if a region is occluded, allowing for further processing and accurate selection of motion vectors, which involves Fourier transformation, phase plane correlation, and 3D recursive analysis to identify occluded regions and adjust motion vectors accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If motion estimation techniques are used to compensate for moving objects, then frame interpolation quality is improved, but difficulty in selecting correct motion vectors increases in occluded regions
Solution Approach 1:
The patent divides the image into multiple blocks and processes each block independently to determine motion vectors. By segmenting the image, the system can identify occluded regions at the block level and apply different motion vector selection strategies for occluded versus non-occluded areas, reducing the overall difficulty of motion vector selection while maintaining interpolation quality.
Solution Approach 2:
The patent performs preliminary processing by analyzing motion vectors from previous frames and identifying potential occluded regions before final motion compensation. This preliminary action allows the system to prepare alternative motion vector candidates and processing strategies in advance, making the final motion vector selection easier and more accurate in occluded regions.
2Ease of manufacture
If frame rate is increased by repeating the most recent frame, then frame interpolation is simplified, but flickering artifacts appear in moving object regions
Solution Approach 1:
The patent uses feedback from motion vector analysis to dynamically adjust the frame interpolation process. By continuously monitoring motion vectors and identifying occluded regions, the system can provide feedback to modify the interpolation algorithm, eliminating flickering artifacts while maintaining a relatively simple processing architecture.
Solution Approach 2:
The patent changes key parameters in the motion compensation process, such as adjusting motion vector weights, modifying block size parameters, and varying interpolation factors based on region type. These parameter changes enable the system to produce smooth transitions in moving object regions without flickering, while keeping the overall frame interpolation process simple and efficient.
Data Source
AI summary
An apparatus includes a phase plane conversion module to convert image data into at least two phases, a current phase and a previous phase, a first phase motion vector calculation module to generate a first phase motion vector field, a second phase motion vector calculation module to generate a second phase motion vector field, and a double check module to determine which vectors in the first and second phase motion vector fields are double confirmed and to identify regions in which the motion vectors are not double confirmed as occluded.