Projector Mask Image Generation via Luminance Segmentation
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Solution Overview
Problem
Existing display devices face challenges in generating accurate mask images when intermediate gray levels in the mask image luminance values are converted to transmittance, leading to suboptimal mask image generation.
Innovation Solution
A method involving the distribution of luminance values of pixels in an original image into specific ranges, followed by replacement steps to generate multiple images, and converting these luminance values into transmittances to create mask images, ensuring accurate representation of desired mask images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If intermediate gray level luminance values are directly converted to transmittance, then the conversion process is simple, but the mask image quality deteriorates
Solution Approach 1:
The patent segments the luminance values into multiple discrete levels (first luminance value, second luminance value, third luminance value) instead of directly converting continuous intermediate gray levels. This segmentation allows for more precise control over transmittance conversion, improving mask image quality while maintaining a structured conversion process.
Solution Approach 2:
The patent changes the parameter representation by introducing multiple discrete luminance value levels and their corresponding transmittance values. Instead of direct linear conversion, the system establishes specific parameter mappings between discrete luminance levels and transmittance levels, thereby improving conversion precision without significantly complicating the process.
2Manufacturing precision
If multiple replacement steps are performed to generate multiple images, then mask image accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent divides the mask image generation process into multiple segmentation steps, where each step processes specific luminance value ranges separately. By segmenting the processing into distinct replacement steps for different luminance levels, the system achieves higher accuracy in representing the desired mask image while organizing complexity into manageable, systematic operations.
Solution Approach 2:
The patent performs preliminary classification and replacement of luminance values before final transmittance conversion. By pre-processing the image data through multiple replacement steps that establish correct luminance value mappings, the system prepares the data in advance for accurate transmittance conversion, thereby improving final mask image accuracy while structuring the complexity into preparatory phases.
Data Source
AI summary
A method of controlling a projector includes a distributing step of distributing each of luminance values of a plurality of pixels constituting an original image into a first luminance value, a second luminance value lower than the first luminance value, a third luminance value lower than the second luminance value, a first replacing step of replacing the luminance values of the pixels corresponding to the second luminance value with the third luminance value in the original image to generate a first image, a second replacing step of replacing the luminance values of the pixels corresponding to the second luminance value with the first luminance value in the original image to generate a second image, and a generating step of converting the luminance values of the pixels into transmittances in each of the first image and the second image to generate mask images.