Plenoptic Video Motion Vectors With Microlens Interval Correction
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Solution Overview
Problem
Conventional video encoding and decoding methods for plenoptic cameras fail to accurately handle light rays blocked by microlenses, leading to incorrect motion vectors and impaired image quality or efficiency.
Innovation Solution
A method and apparatus that calculate and encode horizontal and vertical displacements of image blocks using unit intervals, adaptively set motion vector resolution, and perform interpolation to correct for light ray blockages, enhancing encoding efficiency and reducing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion detection is used to find displacement of light rays, then motion vectors can be obtained, but incorrect motion vectors occur when light rays are blocked by microlenses
Solution Approach 1:
The patent applies preliminary action by calculating horizontal and vertical unit intervals between microlenses before motion detection. This pre-calculated interval information is then used to correct motion vectors, preventing the incorrect motion vector problem caused by light ray blockage. The unit intervals are computed in advance and stored for use during the motion compensation process.
2Productivity
If motion vectors are calculated without considering microlens blockage, then encoding can proceed, but encoding efficiency and image quality are seriously impaired
Solution Approach 1:
The patent implements feedback by using the calculated unit horizontal and vertical intervals to correct motion vectors after initial motion detection. The correction process uses the relationship between light ray displacement and microlens intervals to adjust motion vectors, ensuring accurate prediction blocks are generated. This feedback mechanism maintains both encoding efficiency and image quality.
3Device complexity
If light ray displacement is not corrected for microlens intervals, then encoding is simpler, but large errors occur in restored images
Solution Approach 1:
The patent applies segmentation by dividing the light ray displacement calculation into two components: the motion-detected displacement and the microlens interval correction. The unit horizontal and vertical intervals represent the periodic structure of microlens effects, and by segmenting the correction process, the patent achieves accurate image restoration without excessive complexity.
Data Source
AI summary
A method of encoding a video according to an embodiment of the present invention comprises the steps of: calculating horizontal and vertical displacements of an image block on the basis of a unit horizontal interval and a unit vertical interval; encoding a motion vector corresponding to the image block using the horizontal and vertical displacements; and encoding the unit horizontal interval and the unit vertical interval.


