Image Projection Brightness Correction for Non-Planar Surfaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image projection devices suffer from uneven brightness and distortion due to the characteristics of the projection plane and lens, leading to non-uniform image quality on non-planar surfaces.
Innovation Solution
An image projection apparatus equipped with a distance sensor, memory, and processor that determines brightness variation and projection plane deviation coefficients to correct pixel brightness and distortion, using gradation conversion models and optical deviation coefficients to enhance contrast ratio and uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image projection is performed on non-planar surfaces using conventional projectors, then the projection can be displayed on various surfaces, but the brightness becomes uneven and image quality becomes non-uniform
Solution Approach 1:
The system performs preliminary actions by capturing the projection surface geometry using a depth sensor before actual image projection. The processor calculates correction coefficients based on the captured surface information, and applies brightness and geometric corrections to the image data in advance. This preliminary characterization of the projection surface enables uniform image quality on non-planar surfaces without requiring physical adjustment of the projector during operation.
2Illumination intensity
If brightness correction is applied to compensate for projection plane characteristics, then uniform brightness can be achieved, but additional processing complexity is required
Solution Approach 1:
The system implements self-service by using the projector's own depth sensor to capture projection surface information and automatically calculate correction coefficients. The processor autonomously performs brightness correction and geometric correction without requiring external calibration devices or manual intervention. The system serves itself by utilizing its built-in sensing capabilities to adapt to different projection surfaces and maintain uniform brightness automatically.
Data Source
AI summary
A method for operating an image projector, includes: determining a brightness variation coefficient regarding an input pixel to a gradation conversion model and an output pixel corresponding to the input pixel; obtaining a projection plane deviation correction coefficient reflecting a characteristic of a projection plane obtained from an at least one distance sensor; and generating an output image to be projected by the image projector onto a projection region of the projection plane by correcting a brightness of a pixel of an input image, based on at least one of the brightness variation coefficient or the projection plane deviation correction coefficient.