Projector out-of-focus correction method based on edge perception

Abstract

The invention discloses a projector out-of-focus correction method based on edge perception. According to the method, a projector-camera system is adopted, and a lens of a projector and a lens of a camera face the projection surface; inputting the special input image into a projector, projecting and irradiating the special input image onto a projection surface, and acquiring a projection result projected and irradiated onto the projection surface by the projector as an output image by a camera; and performing out-of-focus convolution kernel calibration by using the special input image and theoutput image to obtain a compensation picture, and performing correction compensation on the to-be-projected picture of the projector by taking the compensation picture as the input of the projector to obtain a clear projection result after out-of-focus compensation. The physical focal length of the projector does not need to be adjusted; according to the technical scheme, the clearness of the out-of-focus projection result of the projector can be realized only by processing the original picture input into the projector, the requirements of using the projector in complex application scenes such as thermal out-of-focus and large-amplitude height change of the projection surface of the projector can be met, and the applicability of the projector equipment is expanded to a certain extent.

Description

technical field [0001] The invention relates to the field of projection equipment, in particular to a method for improving the imaging quality of a projector, and in particular to an edge-sensing-based method for correcting the defocus of a projector. Background technique [0002] Projection equipment has a wide range of applications in the fields of video projection, slide presentation, virtual reality, etc. In the above-mentioned applications, the image of the projector on the projection surface is often blurred, which affects the user experience. The reasons for the blurring mainly include the following two aspects: First, when the projection surface is flat and the projection surface is perpendicular to the projection direction , the blurring phenomenon is mainly caused by thermal defocusing. Specifically, since the projector light source is a high-power device with high heat generation, the imaging components including the projector lens will be affected by thermal exp...

AI Technical Summary

Problems solved by technology

Specifically, since the projector light source is a high-power device with high heat generation, the imaging components including the projector lens will be affected by thermal expansion and contraction, which will change the optical characteristics of the imaging system, resulting in the inability of the light source to converge on the projection surface, resulting in blurring

Second, when the projection surface is non-planar with large height changes, since the projector has a shallow depth of field and can only have a single focal length, it is impossible for the projector to focus everywhere on the projection surface with large height changes at the same time. Therefore, at this time, the projector Imaging blur is inevitable

[0004] The above methods mainly have the following problems: the first method of adjusting the focal length is mainly used to solve the thermal defocusing phenomenon of the projector. Since the projector has a front depth of field and can only have a single focal length, it cannot be solved by simply adjusting the focal length. Blurring in non-planar surfaces with large height changes

However, the calculation of the compensation image is realized through an iterative algorithm, which is inefficient and far from meeting the needs of real-time correction of defocus, which limits the application of this method

In addition, as a pre-step to calculate the compensation image, the existing out-of-focus convolution kernel calibration method can only be applied to smooth surfaces and other simple, specific-shaped non-planar projection surfaces. For complex non-planar projection surfaces, this method It will produce a large out-of-focus convolution kernel calibration error, reduce the effect of out-of-focus compensation, and further limit the application range of the projector out-of-focus correction method based on compensated pictures

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