A multi-view naked-eye 3D image synthesis method based on super-resolution anti-aliasing

Abstract

The present invention provides a multi-view naked-eye three-dimensional image synthesis method based on super-resolution anti-aliasing. The method utilizes the WDSR algorithm to optimize the image zooming process. Since the WDSR algorithm can only enlarge the image by an integer multiple, the zoomed image will be Combined with the traditional interpolation algorithm, the original image is scaled to the size of the target composite image. Then, a multi-view sub-pixel mapping table is calculated according to the multi-view sub-pixel mapping relationship of the columnar grating. Then make each viewpoint mask according to the sub-pixel mapping table, use the mask to accelerate the synthesis speed of the stereogram, and rearrange and combine a part of each viewpoint view after zooming, and finally get a stereoscopic composite image with better effect than using the traditional interpolation algorithm . The invention can reduce the sex-to-noise ratio of the stereo composite image and improve the display quality of the stereo composite image.

Description

technical field [0001] The invention provides a multi-viewpoint naked-eye three-dimensional image synthesis method based on super-resolution anti-aliasing, and specifically relates to the technical field of columnar grating multi-viewpoint naked-eye three-dimensional image synthesis. [0002] technical background [0003] With the rise of the big data era, the amount of information is gradually increasing, and people have higher pursuit of data visualization, data receiving speed, and information acquisition per unit time; in addition, visual information is the most important aspect of human perception of the external world. Under the promotion and influence of the era of big data, the research on the processing of visual information has great prospects and significance. As the traditional two-dimensional images can no longer meet people's needs, the three-dimensional display technology of three-dimensional information has emerged as the times require, and has received extens...

AI Technical Summary

Problems solved by technology

This method needs to reduce or enlarge each viewpoint image to 1 / N of the resolution of the synthetic image (N is the number of viewpoints of the columnar grating naked-eye 3D display), and then map the corresponding pixels of each viewpoint image to In the composite picture, the problem with this method is that there is repeated mapping during mapping, and when the image is shrunk, spectral aliasing will occur, which reduces the composite effect of the image

At present, the WDSR algorithm has a very good performance in the test of many cases, but its anti-aliasing performance and the improvement effect on the display quality of the stereogram composite image have yet to be verified, and the clarity of the stereogram synthesized using the previous upsampling method is still to be determined. improve

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