Adaptive Video Quantization Ranges for Stable Image Quality
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Solution Overview
Problem
Existing image processing technologies struggle to maintain consistent image quality for both static images and videos captured in different modes, leading to potential deterioration in image quality when switching between modes and exceeding processing capacity due to varying bit rates.
Innovation Solution
An image processing device that adjusts quantization parameters within specific ranges for different video capturing modes, allowing for optimized compression processing based on unique capturing conditions, including scene discrimination and input settings, to maintain consistent image quality and manage bit rates effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the compression ratio is increased to reduce data amount, then the bit rate decreases and processing capacity is managed, but the image quality deteriorates
Solution Approach 1:
The patent applies dynamic quantization parameter adjustment based on video capturing mode. The quantization parameter is changed adaptively according to the capturing mode (e.g., static image extraction mode vs. normal video mode), allowing the compression ratio and image quality to be optimized dynamically for each specific scenario rather than using a fixed compression approach
Solution Approach 2:
The patent changes the quantization parameter value based on the video capturing mode. By adjusting this key compression parameter, the system achieves different compression ratios and image quality levels appropriate for different capturing scenarios, resolving the contradiction between compression efficiency and image quality
2Manufacturing precision
If the compression ratio is decreased to improve image quality, then the bit rate increases and exceeds processing capacity
Solution Approach 1:
The system dynamically adjusts the quantization parameter based on the video capturing mode to achieve optimal balance between image quality and processing capacity. In modes where high image quality is critical (e.g., static image extraction), the quantization parameter is adjusted to maintain quality while managing bit rate within processing capacity
Solution Approach 2:
By changing the quantization parameter according to capturing mode, the system optimizes the trade-off between image quality and bit rate, ensuring that processing capacity is not exceeded while maintaining acceptable or high image quality as needed
3Device complexity
If a single quantization parameter range is used for all video modes, then the device complexity is reduced, but the image quality consistency across different modes deteriorates
Solution Approach 1:
The patent applies different quantization parameter ranges for different video capturing modes. This local quality approach ensures that each capturing mode receives optimized compression parameters suited to its specific requirements, maintaining image quality consistency across diverse modes without requiring a single complex adaptive system
Solution Approach 2:
The system changes the quantization parameter range based on the video capturing mode. By having pre-defined parameter ranges for different modes, the system maintains image quality consistency while avoiding the complexity of real-time adaptive parameter adjustment
4Productivity
If the quantization parameter is adjusted dynamically based on past frame code amount, then the bit rate is controlled within processing capacity, but the image quality may deteriorate in specific capturing modes
Solution Approach 1:
The patent applies different quantization parameter adjustment strategies for different video capturing modes. For modes where image quality is critical (e.g., static image extraction), the system uses restricted quantization parameter ranges that prevent excessive quality deterioration, while still maintaining bit rate control within processing capacity
Solution Approach 2:
The system dynamically adjusts the quantization parameter based on both the capturing mode and the code amount of past frames. This dual-based dynamic adjustment allows the system to control bit rate while preventing image quality deterioration in specific capturing modes by constraining the parameter adjustment within mode-specific ranges
Data Source
AI summary
Provided are an image processing device capable of performing compression processing on a video captured in each video capturing mode according to a first video capturing mode and a second video capturing mode with different capturing conditions. A possible range of a quantization parameter applied in a case where the video is compressed is made different in the first video capturing mode and the second video capturing mode with different capturing conditions. The quantization parameter is determined within a first range in a case of the first video capturing mode, and the quantization parameter is determined within a second range narrower than the first range in a case of the second video capturing mode. In particular, a second upper limit value of the second range is smaller than a first upper limit value of the first range, and a second lower limit value of the second range is larger than a first lower limit value of the first range.