Image dejagging system

Abstract

The invention discloses an image dejagging system comprising an edge detection unit, a directional filter, a small angular directional filter, a directional filter fusion unit, and a results fusion unit. The edge detection unit outputs edge directions and confidences of pixels according to an input image; the directional filter outputs directional filtering results according to the input image and the edge directions of the pixels; the small angular directional filter outputs small angular directional filtering results according to the input image and the edge directions of the pixels; the directional filter fusion unit weights and combines the output results of the directional filter and the output results of the small angular directional filter according to the edge directions of the pixels and outputs weighting and combining results of directional filtering; the results fusion unit outputs an optimized image according to the edge confidences of the pixels, the input image and the weighting and combining results of directional filtering. The image dejagging system has the advantages that directional filtering of any direction can be well treated and low-angle jags can be well treated.

Description

technical field [0001] The invention relates to the technical field of image and video processing, in particular to the field of removing jagged images, videos and graphics. Background technique [0002] Processing such as scaling and deinterlacing in image and video processing will bring aliasing effect to the edge of the image, that is, the edge that looks straight in the source image will appear aliasing effect near the edge in the processed image. In graphics rendering, when processing a straight line, if it is not handled properly, the rendered straight line will appear jagged. When the image appears jagged, it needs to remove the jagged. [0003] A conventional anti-aliasing system such as figure 1 As shown, first detect the edge of the image, select a filter in the direction filter bank according to the direction of the edge, and perform filtering along the direction of the edge, and finally use the confidence of the edge to combine the result of the combination of ...

AI Technical Summary

Problems solved by technology

This anti-aliasing system has several disadvantages. The first disadvantage is that the direction is often quantized and quantized into a limited number of directions. Each direction corresponds to a filter along the direction. In this way, for directions falling in the middle of the quantized direction, Only the nearest quantization direction can be selected for filtering, or the filtering results of several adjacent quantization directions can be combined, and the accuracy will be affected

The second disadvantage is that when dealing with low angles (that is, angles close to the horizontal direction), for directions lower than the lowest angle in the quantization direction, the aliasing that appears in this direction cannot be effectively processed

The third disadvantage is that when dealing with small angles (that is, angles close to the horizontal direction), the pixels participating in the filtering are far apart, which is easy to cause errors

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