A Diagonal Interpolation Method of Video Pixels for Large-Screen Multi-Projection System

Abstract

The invention discloses a video pixel opposite-angle interpolation method for a large-screen and multi-projection system. By using the video pixel opposite-angle interpolation method, opposite-angle interpolation is performed according to coordinates of corresponding points, and information of all pixels in secondary video frames is obtained and is outputted according to a relevant video time sequence rule. According to the video pixel opposite-angle interpolation method, opposite-angle interpolation is performed on the secondary video frames, an average value of the sum of fractional parts of horizontal axes and longitudinal axes of the corresponding points serves as an interpolation coefficient, sawtooth distortion of the transverse directions and the longitudinal directions of the secondary video frames after interpolation is performed on the secondary video frames is reduced, a high displaying effect is achieved, opposite-angle interpolation is performed on an optional frame of each secondary video only, two pieces of pixel information in the original video frame are required to be read when a secondary video pixel is generated, and resource consumption and the requirement on speed are moderate.

Description

technical field [0001] The invention relates to the field of large-screen projection display, in particular to a video pixel diagonal interpolation method for a large-screen multi-projection system. Background technique [0002] Large-screen multi-projection systems are widely used in transportation dispatching and commanding, large-scale conference implementation, flight simulation training, combat commanding and other fields. Current large-screen multi-projection systems such as figure 1 As shown, it is mainly composed of four parts: video source, projector array, video processing equipment, and large screen. The projector array is composed of multiple projectors. The video processing device processes the original video output by the video source, and outputs multiple sub-videos, which are respectively output to different projectors for projection display. Due to the relative position of the projection area of ​​the projector and the large screen and the diversity of the...

AI Technical Summary

Problems solved by technology

Using the bilinear interpolation method, each time a sub-video pixel is generated, four pixel information in the original video picture needs to be read. Compared with the nearest point approximation method, its resource consumption and speed requirements are increased to four times, but due to the The interpolation processing in the horizontal and vertical directions is realized, and the aliasing distortion of the sub-video picture is basically eliminated

[0007] Among the above methods, the nearest neighbor approximation method uses lower resource consumption and speed requirements to achieve poor display effects, and the bilinear interpolation method uses higher resource consumption and speed requirements to achieve better display effects. The linear interpolation method is a compromise between the former two, and its display effect is not ideal.

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