A real-time contour refinement image matting method and a storage medium

Abstract

The invention discloses a real-time contour refining image matting method and a storage medium, and the method comprises the steps: obtaining the background knowledge before the priori, building a buffer mask along the contour of a foreground, and roughly obtaining the foreground range; Downsampling the mask data in the buffer area to a certain proportion; In combination with buffer area mask data, segmenting the color image based on speed optimization and a Grabcut algorithm of adding figure contour shape priori to obtain a segmentation result of the scale; And upsampling the segmentation result to the same resolution as the original data to realize image matting. According to the invention, the original Grabcut algorithm is optimized; The speed of the optimized algorithm is increased by30%, the segmented contour is high in robustness, is not influenced by surrounding objects with large gradients, and moves basically along a real target contour, human-computer interaction is not needed, a character foreground can be extracted in real time under a high-resolution video flow without depending on an expensive GPU, and the fineness of the edge can be guaranteed.

Description

technical field [0001] The present application relates to the field of image processing, and in particular, relates to a low-cost real-time outline refinement matting method and a storage medium, which can be used for matting including people. Background technique [0002] Thanks to the rapid development of large-scale integrated circuits, the pixel level of cameras is getting higher and higher, and the demand for high-definition video processing is constantly increasing. The keying technology of early characters was inefficient and could no longer maintain good real-time performance in high-resolution video streams. And only in a simple and specific background can a better keying effect be achieved. For complex backgrounds, most matting algorithms need multiple human-computer interactions to obtain satisfactory results, and the computational complexity is high, which limits the practical application of matting algorithms to a large extent. Of course, the current popular d...

AI Technical Summary

Problems solved by technology

[0005] Therefore, for various keying applications including character keying, there are disadvantages such as the need for interaction, high computational complexity at high resolution, insufficient edges, and high cost. How to increase speed and reduce costs to improve keying Fineness has become a technical problem that needs to be solved urgently in the existing technology

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