Image Processing System Adaptive Color Sampling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing systems cannot automatically select the most suitable color sampling method based on image complexity, leading to either exceeding bandwidth limits or causing image distortion.
Innovation Solution
An image processing system that uses a classification model, such as an artificial neural network, to analyze image blocks and select appropriate compression modes, including color sampling methods like 4:4:4, 4:2:2, or 4:2:0, to balance bandwidth usage and maintain image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If 4:4:4 color sampling is used, then image quality is maintained without distortion, but transmission bandwidth increases significantly
Solution Approach 1:
The patent applies different color sampling methods to different regions of the image based on their complexity characteristics. Simple regions use 4:4:4 sampling to maintain quality, while complex regions use 4:2:2 or 4:2:0 sampling to reduce bandwidth, achieving local optimization of both quality and bandwidth efficiency
Solution Approach 2:
The patent dynamically changes the color sampling parameters (4:4:4, 4:2:2, or 4:2:0) based on the detected complexity of image regions. The system adjusts these parameters in real-time according to the local image characteristics, allowing flexible adaptation between quality and bandwidth requirements
2Quantity of substance
If 4:2:2 or 4:2:0 color sampling is used, then transmission bandwidth is reduced, but image distortion occurs
Solution Approach 1:
The patent applies different color sampling methods to different regions of the image based on their complexity characteristics. Simple regions use 4:4:4 sampling to maintain quality, while complex regions use 4:2:2 or 4:2:0 sampling to reduce bandwidth, achieving local optimization of both quality and bandwidth efficiency
Solution Approach 2:
The patent converts the potential harm of image distortion into a benefit by strategically applying compressed color sampling only to complex regions where the distortion is less perceptible, while preserving full quality in simple regions. This transforms what would be a universal disadvantage into a selective optimization strategy
3Device complexity
If a fixed color sampling method is used, then system complexity is reduced, but adaptability to different image types deteriorates
Solution Approach 1:
The patent performs preliminary analysis of image region complexity before applying compression, using a classification model to identify simple versus complex regions. This preliminary classification enables the system to make informed decisions about which compression method to apply, achieving adaptability through a structured two-stage process
Solution Approach 2:
The patent transitions from a static, fixed compression approach to a dynamic, adaptive system that automatically adjusts compression parameters based on real-time analysis of image characteristics. The system dynamically selects between multiple compression modes according to the detected complexity of each region
Data Source
AI summary
An image processing system includes an image source apparatus, an image processing apparatus and a target apparatus. The image processing apparatus includes an image capturing unit, a mode determining unit and an image compression unit. The image capturing unit captures an image provided by the image source apparatus and divides it into blocks. The mode determining unit, coupled to the image capturing unit, includes compression modes. The mode determining unit receives a first block of the blocks, and a classification model in the mode determining unit analyzes the first block, and based on the analysis result, selects a first compression mode for the first block from the compression modes. The image compression unit, coupled to the image capturing unit and the mode determining unit, compresses the first block into a first compressed block according to the first compression mode and transmits the first compressed block to the target apparatus.