Chrominance Mapping for Faster Per-Pixel Image Processing
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Solution Overview
Problem
Existing image processing technologies require complex calculations and tedious adjustments for each pixel point, leading to low efficiency.
Innovation Solution
An image processing method that involves acquiring a target chrominance component combination for each pixel point, mapping it to a reference image with a predefined mapping relation, determining a target processing feature based on the location relation, and processing the image accordingly, thereby omitting the need for detailed calculations at each pixel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complicated calculations and tedious adjustment operations are conducted for each pixel point, then image processing can be performed with high precision, but image processing efficiency becomes low
Solution Approach 1:
The patent creates a lookup table (LUT) that stores pre-calculated chrominance component combinations for different color categories. Instead of performing complex calculations for each pixel point, the system copies relevant pre-computed data from the LUT based on the pixel's chrominance components, significantly improving processing speed while maintaining accuracy
Solution Approach 2:
The patent performs preliminary calculations and creates the lookup table in advance before actual image processing. The LUT is pre-filled with chrominance component combinations for various color categories, so that during image processing, the system only needs to query the table rather than perform complex real-time calculations
2Measurement precision
If detailed calculations are performed for each pixel point, then processing accuracy is maintained, but processing time increases
Solution Approach 1:
The patent uses a lookup table to store pre-computed chrominance component combinations. During processing, the system copies the appropriate pre-computed values from the table based on the pixel's color characteristics, eliminating the need for time-consuming real-time calculations while preserving processing accuracy
Solution Approach 2:
The patent performs all complex calculations in advance to build the lookup table. This preliminary action stores the results in a format that can be quickly retrieved during actual image processing, dramatically reducing processing time while maintaining the same level of accuracy
Data Source
AI summary
An image processing method includes: acquiring a project image, and acquiring a target chrominance component combination corresponding to each of pixel points in the project image; acquiring a first reference image, where a first mapping relation is present between each of location points in the first reference image and the chrominance component combination obtained from the chrominance components in the at least two chrominance channels; mapping, based on the first mapping relation, the target chrominance component combination to the first reference image to acquire a first mapping location point corresponding to the pixel point; determining a target processing feature corresponding to the pixel point according to a pixel feature of the first mapping location point in the first reference image; and processing the project image based on the target processing feature of each of the pixel points.