Image Processing for Tilt-Compensated Pixel Translation
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Solution Overview
Problem
The issue of delayed image exposure due to the mounting plate of a laser direct imaging device being tilted on its rails, leading to inaccurate pixel translation methods that either fail to implement precise movements or result in significant discrepancies.
Innovation Solution
An image processing method that involves setting a first image resolution, obtaining multiple offsets, processing the image to a higher resolution, calculating pixel sizes, and translating pixels using integer multipliers to achieve accurate alignment, followed by restoring the resolution to the original scale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each pixel is translated by a respective actual obtained first offset, then measurement precision is improved, but device complexity increases and implementation difficulty arises
Solution Approach 1:
The patent changes the parameter of pixel translation from using precise but complex actual offsets to using simplified calculated offsets based on mounting plate tilt angle. The offset is recalculated as: offset = pixel_index × (tilt_angle × mounting_plate_length), which transforms an individually measured parameter into a systematically calculated one, reducing implementation complexity while maintaining sufficient precision.
Solution Approach 2:
The patent segments the pixel translation problem into two independent components: the common tilt-induced offset applied to all pixels, and the individual pixel position factor (pixel_index). This segmentation allows the complex actual offset measurement to be replaced by calculating the tilt component separately and combining it with pixel positions, simplifying the overall implementation.
2Ease of operation
If pixel translation uses integer multiple of pixel size, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent changes the translation parameter from integer multiples of pixel size to continuous calculated offsets based on physical mounting plate tilt. The new parameter formula offset = pixel_index × (tilt_angle × mounting_plate_length) allows non-integer values that precisely match the actual physical displacement, thereby improving alignment precision while keeping operations straightforward through automated calculation.
3Device complexity
If mounting plate is installed on rails, then device structure is simplified, but mounting precision deteriorates due to tilt
Solution Approach 1:
The patent converts the harmful effect of mounting plate tilt into a useful parameter for calculation. Instead of trying to eliminate the tilt or treat it as an error, the method measures the tilt angle and uses it to calculate the exact offset for each pixel row. This transforms the mounting imperfection into a known variable that can be compensated for in the translation calculation, thereby maintaining precision despite the simplified rail-based mounting structure.
4Productivity
If lasers output power simultaneously, then productivity is improved, but exposure accuracy deteriorates due to tilted mounting plate
Solution Approach 1:
The patent applies preliminary action by calculating and applying the tilt-compensated offset to each pixel row before the actual exposure process. The offset calculation offset = pixel_index × (tilt_angle × mounting_plate_length) is performed in advance, and the corrected pixel positions are used for exposure. This preliminary correction ensures that even though lasers fire simultaneously, each row is exposed at the correct position, maintaining accuracy while preserving productivity.
Data Source
AI summary
An image processing method, apparatus and a related device are provided. The method includes: step 1: setting a resolution of a first image to be exposed as a first resolution K1; step 2: obtaining multiple first offsets, each first offset corresponding to a respective pixel of the first image; step 3: processing the first image to obtain a second image with a greater resolution and setting a second resolution of the second image as K2; step 4, obtaining a third image; and step 5: obtaining a fourth image.