Video motion-adaptive de-interlacing method and device therefor

Abstract

The invention provides a video motion-adaptive de-interlacing method and a device therefor; the device comprises a motion detection module, a spatial interpolation calculating module, a time-domain interpolation calculating module and a motion-adaptive module, wherein, the motion detection module inputs the image data of a current field, a latter field and a former field, the spatial interpolation calculating module inputs the image data of the current field, the time-domain interpolation calculating module inputs the image data of the latter field and the former field, and the motion detection module, the spatial interpolation calculating module and the time-domain interpolation calculating module are connected with the motion-adaptive module which selects output of the spatial interpolation calculating module or the time-domain interpolation calculating module according to the judgment results by the motion detection module. The device and the method provided by the invention can correctly detect the image detail and the image edge direction, thus avoiding the loss of a large area of images and having a smaller hardware cost.

Description

technical field [0001] The present invention relates to deinterlacing techniques in image and video processing. Background technique [0002] Because the human visual system is not sensitive to flickering of image detail, broadcast television standards use interlacing. However, interlacing complicates a lot of image processing, especially scan format conversion. Nowadays, people are more and more concerned about the quality of images. The previous interlaced images no longer meet the audience's requirements for image quality, and de-interlacing technology has emerged as the times require. De-interlacing is to convert interlaced scanning images into progressive scanning images. After de-interlacing, the video has no scanning lines, inter-line flicker and jagged. In addition, many applications currently use progressive scanning, such as PC monitors, projection systems, video For conference systems, the deinterlaced video can be more conveniently displayed, stored and transmi...

AI Technical Summary

Problems solved by technology

[0005] The commonly used motion-adaptive de-interlacing algorithm uses pixels in the 3×3 neighborhood of the four fields to perform motion-adaptive de-interlacing. This method has a good detection effect on the edge part of the moving part of the image, but when detecting the large internal moving area An error occurs, resulting in the loss of a large area of ​​motion, and the use of four-field data will also bring a large hardware implementation cost

At the same time, its spatial interpolation algorithm is based on the detection of the edge direction, using a 3×3 sobel operator to calculate the horizontal gradient and vertical gradient respectively, and then adopting different interpolation methods according to different edge directions, but the algorithm does not affect the details of the image. The processing is not ideal, mainly because the fine edge direction cannot be detected correctly during the coarse classification of the image

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