Projection color self-adaption correction method

Abstract

The invention provides a projection color self-adaption correction method. The method includes the steps that (1) a camera is demarcated, and radial aberration and tangential aberration of the camera are eliminated; (2) the pixel point corresponding relation between a projector and the camera is determined, and corresponding pixel point coordinate mapping is built; (3) correction parameters of the projection surface are computed according to an original projection image I to obtain a color correction image C; (4) the original projection image is preprocessed, and colors beyond the color range of the color correction image C are stretched to obtain a brightness stretching image S; (5) the brightness stretching image S replaces the original projection image I and is substituted into the color correction image C to conduct global brightness correction, and the pixel color correction value is verified and optimized, and an optimized color correction image Cfinal is obtained; (6) drawing projection is conducted on the computed optimized color correction image Cfinal. By means of the projection color self-adaption correction method, a projection device can get rid of depending on a special projection screen, and the projection effect the same as that of a white panel screen is achieved in the daily life environment.

Description

technical field [0001] The invention relates to a projection color correction method for adaptive complex projection environment in the field of pervasive computing environment. 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 human beings on the color of projected images, and projected the image to the display surface through a projector and then reflected it back to the human eye for multiple conversions together with interfering light such as projected textures. The process is assumed to be a multi-channel mixing matrix of co...

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 it is limited by the particularity of the solution method and can only be used for color correction of static projection pictures in a flat projection environment

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