Super Resolution Video Playback Using Interlaced Field Filtering
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Solution Overview
Problem
Current super resolution playback technologies face limitations in recovering high frequency details due to bandwidth reduction techniques like interlacing, which are difficult for progressive video playback systems to handle, leading to loss of image quality and incompatibilities with multi-function devices.
Innovation Solution
The proposed method involves filtering video data before transmission to mimic progressive formats, using different lowpass filters for each field in interlaced data to minimize aliasing and maintain low frequency content, allowing super resolution processes to recover original high resolution images without additional hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If bandwidth reduction techniques like interlacing are used, then transmission bandwidth is reduced, but high frequency content is lost making super resolution recovery difficult
Solution Approach 1:
The patent applies preliminary action by performing motion compensation and filtering on the interlaced fields before downsampling to progressive format. This pre-processing preserves the high frequency information that would otherwise be lost during the bandwidth reduction process, enabling subsequent super resolution recovery.
Solution Approach 2:
The patent uses an intermediary progressive format as a bridge between the interlaced transmission format and the display format. By converting through this intermediate representation with preserved high frequency content, the system maintains the ability to recover original detail while achieving bandwidth reduction.
2Productivity
If interlaced transmission is used for bandwidth reduction, then transmission efficiency is improved, but compatibility with progressive video playback systems deteriorates
Solution Approach 1:
Instead of converting progressive to interlaced (the traditional approach), the patent inverts the process by converting interlaced to progressive format while preserving the benefits of interlacing through careful filtering and motion compensation, making it compatible with progressive playback systems.
Solution Approach 2:
The patent creates a universal format that serves multiple functions: it achieves bandwidth reduction like interlacing, maintains compatibility with progressive playback systems, and preserves the information needed for super resolution recovery. This multi-functional approach resolves the compatibility issue.
3Adaptability or versatility
If conventional downsampling is applied to interlaced data, then format conversion is achieved, but aliasing artifacts increase reducing image quality
Solution Approach 1:
The patent performs preliminary motion compensation and filtering operations before the downsampling conversion from interlaced to progressive format. This pre-processing removes the aliasing artifacts that would normally occur during format conversion, preserving image quality.
Solution Approach 2:
The patent converts the potentially harmful aliasing artifacts into beneficial information by using the aliasing patterns created during controlled downsampling as additional data for super resolution recovery, turning a problem into an advantage.
Data Source
AI summary
A method of transmitting video data includes receiving a frame of video data of a first resolution from an image capture device at a video transmission device and generating interlaced fields of the frame of video data at the video transmission device by applying a filter with a different set of filter coefficients to at least one field than is applied at least one other field. A method of producing video data of a particular resolution includes generating estimated high resolution video data from low resolution video data received at a display device, producing estimated low resolution video data from the estimated high resolution video data by applying a filter to the estimated high resolution video data, differencing the estimated low resolution video data and the received low resolution video data to generate difference data, and using the difference data to generate new estimated high resolution video data.