Video Coding Enhancement Control Algorithm for Sharpness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spatial scalable video compression schemes lose sharpness due to filtering and downscaling, and existing enhancement techniques often overcompensate, resulting in unnatural pictures, as they do not effectively utilize reference signals to control picture enhancement.
Innovation Solution
A control algorithm that minimizes the difference between picture content parameters of the enhanced output signal and the reference signal is used to optimize enhancement, ensuring sharp and natural pictures by extracting and comparing parameters from both signals and adjusting enhancement control parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If filtering and downscaling are used to compress video data, then data transmission efficiency is improved, but picture sharpness deteriorates
Solution Approach 1:
The video signal is divided into base layer (low-resolution) and enhancement layer (high-resolution detail information). The base layer undergoes filtering and downscaling for efficient compression, while the enhancement layer preserves original high-frequency details to restore sharpness when combined with the base layer.
Solution Approach 2:
An enhancement layer acts as an intermediary that carries high-frequency detail information from the original high-resolution signal. This enhancement layer is added to the decoded base layer to reconstruct the original sharpness, compensating for the sharpness loss caused by filtering and downscaling.
2Manufacturing precision
If enhancement control is optimized using picture content parameters, then picture quality is improved, but risk of over-enhancement increases
Solution Approach 1:
The system extracts picture content parameters (such as edge strength, texture complexity) from the decoded base layer and uses these parameters as feedback to dynamically adjust enhancement control parameters. This feedback mechanism ensures enhancement is applied appropriately according to local picture characteristics, preventing over-enhancement while maintaining natural appearance.
Solution Approach 2:
Different enhancement parameters are applied to different regions of the picture based on locally extracted picture content parameters. Regions with high edge strength or complex texture receive different enhancement treatment compared to smooth regions, ensuring natural appearance while improving overall picture quality.
Data Source
AI summary
In a method and apparatus for encoding an input video bitstream to produce an encoded output bitstream, a base stream is enhanced based on enhancement control parameters. At least one picture content parameter is extracted from the enhanced base stream. At least one picture content parameter is extracted from the input video bitstream. The enhanced picture content parameters are compared with the input picture content parameters. An output from the comparison step is received and the enhancement control parameters are calculated so as to minimize the difference between the input picture content parameters and the enhanced picture content parameters. The calculated control parameters are incorporated into the encoded output bitstream.