Image Processor Pixel Position Table Reduces Command Load
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Solution Overview
Problem
Existing image processors require a large number of commands and increased calculation amounts to determine pixel positions and perform interpolation processing, especially when handling larger image data sizes, which hampers efficiency.
Innovation Solution
An image processor with a video input unit that counts pixel data and a command fetch/issue unit that calculates pixel positions based on a delay amount, allowing for efficient determination of whether signal processing should be applied, thereby reducing the overall calculation load by optimizing branch determination processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional command processing methods are used to determine pixel positions and perform interpolation processing, then processing accuracy is maintained, but the number of commands and calculation amount increase significantly
Solution Approach 1:
The patent pre-calculates and stores pixel position information in a pixel position table before processing. The video input unit counts input pixel data and uses this count to directly retrieve position information from the pre-prepared table, eliminating the need for complex real-time calculations during command execution. This preliminary preparation reduces the number of commands required while maintaining accurate position determination.
2Measurement precision
If traditional command processing methods are used to determine pixel positions and perform interpolation processing, then processing accuracy is maintained, but the calculation amount increases
Solution Approach 1:
The pixel position table is pre-computed and stored, containing position information for all possible pixel locations. During processing, the video input unit simply counts input pixels and uses this count as an address to retrieve position data from the table, replacing complex real-time arithmetic operations with simple table lookup operations. This dramatically reduces the calculation amount while preserving position determination accuracy.
3Area of stationary object
If the image processor handles larger image data sizes, then processing capability is improved, but the calculation amount and processing time increase
Solution Approach 1:
The pixel position table is prepared in advance for the entire image dimension, allowing the processor to handle large images efficiently. As pixels are input, the video input unit simply increments a counter and uses this counter value to access the pre-computed table, retrieving position information in constant time without performing calculations proportional to image size. This enables scalable processing of large images with minimal increase in processing time.
4Area of stationary object
If the image processor handles larger image data sizes, then processing capability is improved, but the overall calculation load increases
Solution Approach 1:
By pre-computing and storing pixel position information in the pixel position table, the system transforms complex calculation-intensive operations into simple data retrieval operations. The video input unit only needs to count input pixels and perform a table lookup, regardless of the total image size. This approach keeps the calculation load constant and independent of image dimensions, enabling efficient processing of large images without proportional increases in computational burden.
Data Source
AI summary
An image processor includes a video input unit that counts the number of input pixel data and a command fetch/issue unit calculates, when a command including information concerning a relative position register in which a delay amount from input of pixel data until execution of a command is stored is fetched, a pixel position of processing target pixel data based on the delay amount and a count result and determines, based on the calculated pixel position, whether signal processing should be performed or specifies an operand used in arithmetic operation.