An Adaptive Projection Color Compensation Method

Abstract

The invention discloses an adaptive projection color compensation method. By analyzing the collected color calibration reference image, the method first stretches the color range of the original projected image for preprocessing, and performs global brightness compensation on the initial color compensation image, checks and optimizes the pixel color compensation value, and then uses the optimized The color compensation method of the Lambert reflection model corrects the color of the projected image, and finally eliminates the interference of the inherent texture of the projected surface and the ambient light on the projected image. Using the self-adaptive color compensation method disclosed in the present invention to project in the daily life environment can get rid of the dependence of traditional projection equipment on professional projection screens, and observers cannot visually perceive the inherent texture of the projection surface and the effects of ambient light on the projected image. Color deviation, to obtain a projected image that meets the expected expectations, and finally achieve the effect of projection on a white flat screen.

Description

technical field [0001] The invention relates to a fidelity projection in the field of scientific research and education (scientific visualization), various simulation fields (virtual reality), entertainment and conferences (pervasive computing environment, textured wall corners and other complex indoor backgrounds), and meteorological A projection color compensation method adaptive to complex projection environments in the field of large-screen monitoring and display of traffic. Background technique [0002] Adaptive calibration of projectors in everyday environments needs to solve the impact of unconventional projection environments on projected images. An important problem that needs to be solved is the color deviation and brightness caused by the inherent texture of the projection display surface and factors such as ambient light. loss. [0003] For the color correction of projected images, Nayar et al. carried out a parametric analysis of the visual imaging process of h...

AI Technical Summary

Problems solved by technology

This method can achieve accurate color correction when the texture of the projection surface is complex and there are multiple ambient interference lights, but i

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