Video Coding Apparatus Noise Quantization Control
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Solution Overview
Problem
Existing video compression techniques fail to efficiently compress videos with high noise levels, leading to increased code amounts and inadequate bit rate control, as they struggle to effectively handle noise with low temporal or spatial correlations.
Innovation Solution
A moving image coding apparatus comprising a first orthogonal transform unit, a complexity obtaining unit, a noise determination unit, and a code amount adjustment unit, which performs orthogonal transform, determines noise and complexity based on frequency components, and adjusts the code amount to optimize quantization parameters for efficient compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video compression techniques are used on video containing much noise, then the encoding process can be performed, but the code amount generated becomes large and bit rate control becomes inadequate
Solution Approach 1:
The patent applies preliminary action by performing noise determination and complexity calculation before the main encoding process. The pre-encoder calculates complexity metrics and the noise determination unit assesses noise levels in advance, allowing the code amount adjustment unit to pre-determine appropriate quantization parameters before actual compression, thereby optimizing code amount for noisy video
Solution Approach 2:
The patent changes parameters by dynamically adjusting quantization parameters based on noise determination results and complexity calculations. The code amount adjustment unit modifies quantization parameters according to the determined noise level and complexity, allowing adaptive optimization of compression efficiency and code amount control for different video conditions
2Ease of operation
If conventional pre-encoding is performed on video with poor S/N ratio, then encoding can proceed, but the pre-encoding process fails to achieve efficient compression due to low correlations in noise
Solution Approach 1:
The patent applies feedback by using the noise determination unit to assess noise characteristics and feed this information back to the code amount adjustment unit. The complexity calculation results and noise determination results are fed back to adjust quantization parameters, creating a closed-loop system that adapts to the actual noise conditions in the video
Solution Approach 2:
The patent changes parameters by adjusting quantization parameters based on feedback from noise determination and complexity calculation. The system dynamically modifies encoding parameters according to the actual noise level and complexity of the video content, enabling efficient compression adaptation to noisy video conditions
Data Source
AI summary
A moving image coding apparatus performs efficient moving image compression on video with much noise (with a poor S/N ratio), and enables appropriate bit rate control (code amount control). A first orthogonal transform unit performs orthogonal transform of an input moving image. A complexity obtaining unit obtains a complexity of the input moving image based on frequency component data obtained through orthogonal transform by the first orthogonal transform unit. A noise determination unit determines noise in the input moving image based on the frequency component data obtained through orthogonal transform by the first orthogonal transform unit. A code amount adjustment unit generates a code amount adjustment signal based on the complexity obtained by the complexity obtaining unit and the noise determination result obtained by the noise determination unit. A coding unit subjects the input moving image to a coding process including quantization using a quantization parameter value determined based on the code amount adjustment signal generated by the code amount adjustment unit.