A 3D Video Color Automatic Correction Method Based on Graphics Processor

Abstract

The invention discloses a three dimensional (3D) video color automatic revising method based on a graph processor. The 3D video color automatic revising method based on the graph processor comprises the following steps: splitting 3D videos to a left and right eye original drawing of each frame; selecting to-be-revised graphs and reference graphs; converting the to-be-revised graphs and reference graphs to a document form which can be processed by a graphic processing unit (GPU); changing two graphs from RGB to Lab; utilizing the GPU to extract the effective statistic information of the two graphs, and revising the to-be-revised graphs; changing the to-be-revised images from Lab to RGB, and proceeding crossing line detection revision. The 3D video color automatic revising method based on the graph processor enables large quantities of calculation to switch from a central processing unit (CPU) to the GPU, improves revision speed; the revision effect can be better if people choose a Lab color space with little passageway relevance; in the process of switching RGB to Lab, color switch can be more accurate as revising under the condition of color saturation; an algorithm is free of the control of characteristic points, and is also free of the influence of graphs distortion or pictures distortion, so that robustness is good. The 3D video color automatic revising method based on the graph processor adopts a dimensionality reduction method to start the statistic of both mean values and variances, so that computation quantity is lowered, and the speed of revising the color is improved.

Description

technical field [0001] The invention relates to a 3D video color automatic correction method based on a graphic processor. Background technique [0002] Vision is the most important means for human beings to obtain information. The amount of information obtained by vision accounts for about 60% of the total amount of information obtained by human beings. Its importance to human beings is self-evident. The image is the main way for human beings to obtain visual information, and it is the first-hand material for objectively describing the scene. Image processing is the behavior of people processing images to meet their visual psychology or application needs, which helps them make corresponding behavior planning and decision-making. With the in-depth research and continuous development of topics such as artificial intelligence and computer graphics, image processing technology has entered a period of rapid development. [0003] For some specific research (such as stereo visio...

AI Technical Summary

Problems solved by technology

[0006] For image color correction, traditional correction algorithms require several processes and a large number of calculations, while a large number of algebraic operations of traditional algorithms are completed by the CPU, which greatly limits the speed of image color correction; Segment and extract the feature points of the image, and then perform matching correction. These steps require a lot of calculations, and the accuracy of feature point extraction and matching will be affected by image quality and image distortion.

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