Pre-processor Reduces CPU Load in Image Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing techniques are inefficient due to frequent memory access, leading to prolonged processing times, especially when performed by a CPU.
Innovation Solution
An image processing apparatus is designed with a pre-processor that generates pre-processing data from Bayer data, which is then processed by a main processor, utilizing a configuration that includes an RGB data converter, bit selector, and data array converter to reduce data complexity and enhance processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing is performed by CPU with frequent memory access, then processing can be completed, but processing time becomes long
Solution Approach 1:
The image processing system is segmented into two distinct processors: a pre-processor that handles pre-processing tasks (Bayer data to RGB conversion) and a main processor that handles image processing tasks. This segmentation allows each processor to specialize in specific operations, reducing the burden on the CPU and enabling parallel execution, thereby decreasing overall processing time.
Solution Approach 2:
The pre-processor performs preliminary actions by converting Bayer data to RGB data and generating pre-processing data before the main processor performs image processing. This preliminary conversion eliminates the need for the main processor to perform time-consuming memory access operations, significantly reducing processing time while maintaining productivity.
2Productivity
If pre-processor generates pre-processing data, then main processor load is reduced, but device complexity increases
Solution Approach 1:
The system is divided into two functional segments: a pre-processor for data conversion and a main processor for image processing. Each segment has a clear, specialized function, which simplifies the overall system architecture despite the increased number of components. The segmentation allows for modular design and easier maintenance.
Solution Approach 2:
The pre-processor acts as an intermediary between the imaging device and the main processor. It converts Bayer data to RGB data and generates pre-processing data that the main processor can efficiently process. This intermediary role reduces the complexity of the main processor's tasks and enables more efficient data flow.
Data Source
AI summary
An image processing apparatus 1 includes a pre-processor 10 and a main processor 30. The pre-processor 10 generates pre-processing data by performing a pre-processing of Bayer data outputted from an imaging device 91, and outputs the generated pre-processing data. The main processor 30 performs an image processing based on the pre-processing data.


