Text enhancement method and device, computer device, and readable storage medium

Abstract

The embodiment of the invention discloses a text enhancement method and device, a computer device, and a readable storage medium so that a display effect of a text in an image can be improved and picture distortion of the image can be reduced. The method comprises: extracting a text region of a current frame of image; determining first pixel information of a first pixel point of the text region; acquiring second pixel information of a second pixel point in a preset range of the first pixel point; and adjusting the first pixel information based on the second pixel information.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a text enhancement method and device, a computer device, and a readable storage medium. Background technique [0002] Traditional video coding technologies are mainly designed for natural images and are not suitable for coding screen content. This is mainly reflected in the following two points: [0003] 1. Human eyes have different perceptions of brightness and chromaticity. For natural images, the loss of certain chromaticity information has little impact on vision. Also, the amount of data to be encoded can be reduced. Therefore, video encoding mostly adopts YUV420 format. However, the screen content is clean and noise-free, and the loss of chroma in the YUV420 format will seriously damage the image quality of the screen, causing blurred text and the like. [0004] 2. Video coding technologies such as H.264 coding, etc., mostly use transformation operations to transfo...

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Problems solved by technology

However, the screen content is clean and noise-free. The loss of chroma in the YUV420 format will seriously damage the image quality of the screen, causing blurred text and the like.

[0004] 2. Video coding technologies such as H.264 coding, etc., mostly use transformation operations to transform images from the spatial domain to the frequency domain, and then perform quantization to weaken high-frequency signals. However, due to the sharp edges of text, there are many high-frequency signals

Traditional text enhancement methods mainly include binarization processing, image sharpening, image denoising, contrast enhancement, etc. These methods are mainly for scanned images or video images with text. The enhanced image is too different from the original image, but cannot Text enhancements applied to screen content

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