A Method for Removing Blurring of Projected Image

Abstract

The invention discloses a projection image blurring eliminating method based on a multicale convolution kernel. The projection image blurring eliminating method includes firstly utilizing a discrete set mapping method to geometrically correct, providing an improved Sobel-Tenengrad focus evaluation method to calculate image sharpness for luminance balance of projection captured images, performing projection image blurring eliminating calculation by means of a Wiener filtering image reformation method with multi-scale convolution kernel blurring template, and finally eliminating self-defocusing of a projector and projection image blurring caused by the projection environment affection. By the projection image blurring eliminating method based on the multiscale convolution kernel, the problems of inaccuracy manual focusing of projection equipment and focusing interference on the projection images due to complicated projection environments can be effectively eliminated, and image resolution and detail resolution of observers can be visually improved.

Description

technical field [0001] The present invention relates to a method used in conferences (speech presentations) and entertainment (film screenings), scientific research and education (scientific visualization), various simulation fields (virtual reality), and large-screen monitoring and display of meteorological traffic. Projected image blur removal method based on multi-scale convolution kernel. Background technique [0002] Traditional projection equipment needs to be corrected according to factors such as the distance between the projector and the projection display surface before use. One of the important problems that needs to be solved is the optical focus correction of the projector. However, at present, it is necessary to use manual mechanical focusing for projection focus correction. At the same time, due to the incomplete manual focus and the unfixed position of the projector and the projection display surface, it is difficult to accurately focus the projected image to...

AI Technical Summary

Problems solved by technology

Among them, Bimber et al. proposed a multi-focus projection system composed of multiple projectors. This hardware system overcomes the problem of single projection focal length of traditional projectors. Practical needs in daily life

Zhang and Nayar from Columbia University conducted research from the perspective of software development. They simulated the parameters of the projection focus model and used the method of multiple calculations to improve the accuracy. However, the calculation efficiency of this method is very low and cannot be projected in real time. use in process

Japan's Yuji Oyamada et al. proposed another method to analyze the blurring degree of the projected image in a distributed manner, and calculate different projected image blur removal models for different projected areas, but this method does not solve the problem of the lighting of the projected environment and the projected surface. Interference factors such as reflectivity, while still unable to achieve real-time blur correction

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