Method, system and device for enlarging sub-pixel text in video image transmission

Abstract

The invention belongs to the field of image amplification processing in video image transmission, and specifically relates to a method, system and equipment for enlarging sub-pixel text in video image transmission, aiming to solve the problem of directly enlarging sub-pixel optimized text to the pixel level in video transmission. Loss of optimization and distortion of text edges. The invention includes: converting the video image to be transmitted containing sub-pixel characters into RGB; judging the pixel attribute pixel by pixel according to the RGB channel value of the current pixel and the next pixel; marking row by row according to the pixel attribute value of the row; The sub-pixels are arranged into a set of data sequences according to the R channel, G channel, and B channel values, and then mapped back to the corresponding channel after horizontal zoom-in, and the non-sub-pixel part is directly zoomed in horizontally; the horizontally zoomed-in image is directly zoomed in vertically to obtain the zoomed-in video image and transfer. The present invention retains the original outline of sub-pixel optimized characters, and avoids the problems of loss of optimization effect and edge distortion.

Description

technical field [0001] The invention belongs to the field of image enlargement processing in video image transmission, and in particular relates to a method, system and equipment for enlarging sub-pixel characters in video image transmission. Background technique [0002] In the field of professional audio-visual, there are already very mature processing methods for video image scaling, including bilinear interpolation, bicubic interpolation, Lanczos and other commonly used classical algorithms. [0003] However, the existing scaling algorithm is to uniformly process the content of the video image. If there are some sub-pixel-optimized characters for the liquid crystal display in the video image, the edge effect after zooming in is very poor. The root cause of this phenomenon is that the existing scaling algorithm directly enlarges the sub-pixel optimized text pixels above the pixel level, thus losing the optimization effect and causing the edge distortion of the enlarged su...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems in the prior art, that is, the sub-pixel optimized text in video transmission will lose the optimization effect and the edge distortion of the text will be lost if the text is directly enlarged to the pixel level, the present invention provides a sub-pixel text in video image transmission A method of magnification, the method comprising:

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