An anti-aliasing method for head-up display after pre-distortion based on edge direction correlation

Abstract

The invention relates to a predistortion head up display image anti-aliasing method based on edge direction correlation and belongs to the field of digital image processing. The method includes usingFIFO for row buffering and column buffering of an input DVI image, and extracting 9 pixel values in a 3X3 window; using a quick sorting method to find a maximum value and a minimum value for 9-point pixel data in a template window; using maximum and minimum values in a 3X3 template to determine the correlation of data in a template, and distinguishing an edge region and a non-edge region of the image; for the edge region of the image, using a direction template to determine the edge direction and then performing the weighting process after the distance parameter normalization; for the non-edgeregion, performing direct delay output, and causing the delay time to be consistent with the anti-aliasing processing time; and finally performing gray-scale transformation on overall character images by utilizing a segmentation function curve according to inherent characteristics of a head up display raster image. According to the method, the display quality of the head up display raster image can be improved as a whole, and the gray scale loss and the brightness loss caused by the anti-aliasing process are reduced.

Description

technical field [0001] The invention relates to the field of image display processing, in particular to an anti-aliasing method for a head-up display screen after pre-distortion based on edge direction correlation. Background technique [0002] Airborne HUDs generally adopt large field of view and off-axis optical systems. Due to their own optical characteristics, this type of system will cause picture distortion and severe distortion, which will affect the pilot's access to the information displayed on the head-up display. At this stage, the method of electric correction is generally used to pre-distort the HUD display screen, and the pre-distortion uses bilinear or bi-three interpolation algorithm to correct the pixel gray level, as described in Chinese patent CN105354809A. Since the interpolation algorithm does not consider the correlation between pixels and the inevitable errors and noises introduced in the process of image transformation and transmission, there will be...

AI Technical Summary

Problems solved by technology

However, after the pre-distortion of the screen display, the content of the drawing cannot be obtained in practice. As a result, the current classic anti-aliasing algorithms such as straight lines and circles cannot be used when performing anti-aliasing processing on the pre-distorted image. Therefore, anti-aliasing of full-screen raster images has always been It is a difficult point in anti-aliasing technology

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