Video Signal Processing Apparatus for High-Resolution Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies for achieving high-resolution video signals require large-scale frame memory and complex signal processing circuits, are inefficient for interlace scanning, and struggle with maintaining resolution in static or slowly moving objects, especially when converting between standard definition and high definition signals.
Innovation Solution
A video signal processing apparatus that uses two frames to achieve high-resolution video by estimating positional differences, performing motion compensation, and removing aliasing components using a weighted sum method, with phase shifting and interpolation, allowing for efficient high-resolution conversion with reduced hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional high-resolution processing methods are used, then high resolution can be obtained, but hardware complexity and cost increase due to large-scale frame memory and complex signal processing circuits
Solution Approach 1:
The patent segments the high-resolution processing into two distinct stages: first performing motion compensation on lower-resolution frames, then conducting resolution conversion. This segmentation allows each stage to be optimized independently, reducing the overall hardware complexity while maintaining high-resolution output quality.
Solution Approach 2:
The patent performs motion compensation as a preliminary action before resolution conversion. By compensating for motion at the lower resolution stage first, the system simplifies subsequent high-resolution processing, as the motion artifacts are already corrected and do not need to be handled during the computationally intensive resolution conversion phase.
2Manufacturing precision
If conventional methods are used for interlace scanning, then high resolution can be achieved, but processing efficiency decreases due to complex aliasing removal requirements
Solution Approach 1:
The patent performs motion compensation before resolution conversion, which preliminarily corrects motion-related aliasing issues. This preliminary action simplifies the subsequent aliasing removal process during resolution conversion, particularly for interlace scanning where motion compensation prevents temporal aliasing that would otherwise complicate the processing.
Solution Approach 2:
The patent converts the potentially harmful effect of motion-induced aliasing into a benefit by using the motion information itself to guide the compensation process. The motion compensation process, which initially identifies moving regions, subsequently uses this information to selectively apply processing that removes aliasing while preserving fine details, turning the aliasing problem into a guide for improved processing.
3Manufacturing precision
If conventional resolution conversion is used, then high resolution can be obtained, but static or slowly moving objects lose resolution due to aliasing
Solution Approach 1:
The patent converts motion information, which could be seen as complicating the processing, into a beneficial tool for identifying and preserving fine details. By detecting motion magnitude and direction, the system can selectively apply aliasing removal techniques that preserve high-frequency components in static or slowly moving regions while still handling moving objects correctly.
Solution Approach 2:
The patent applies different processing characteristics to different regions of the image based on motion analysis. Static or slowly moving regions receive processing that maximally preserves fine details and removes aliasing, while moving regions receive adapted processing. This local differentiation ensures that resolution consistency is maintained across all object types.
Data Source
AI summary
A video signal processing apparatus, for achieving high resolution, with using a small number of frames, as an input videos signal, comprises: an input unit, into which a video frame is inputted; and a resolution converter unit for obtaining an output video frame by increasing a number of pixels building up the input video frame, wherein the resolution converter unit has a same-brightness direction estimation unit, which is configured to produce a sampling phase difference for each video data, by estimating a same-brightness direction for each video data on the input video frame, and the resolution converter unit conducts a high resolution process of video with using the sampling phase difference, which is produced by the same-brightness direction estimation unit.