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Error diffusion method based on pixel neighborhood gray level information

An error diffusion and neighborhood grayscale technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as loss of details, artificial texture, blurred image edges, etc., to achieve the effect of expanding application problems

Inactive Publication Date: 2019-02-15
FUZHOU UNIVERSITY
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Problems solved by technology

However, the traditional error diffusion algorithm will lead to blurred image edges, loss of details, artificial texture and other phenomena.

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  • Error diffusion method based on pixel neighborhood gray level information
  • Error diffusion method based on pixel neighborhood gray level information
  • Error diffusion method based on pixel neighborhood gray level information

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] This example provides an error diffusion algorithm based on image pixel neighborhood grayscale information, including the following steps:

[0041] Traverse each pixel row by pixel in a serpentine scan;

[0042] Step 1, before performing error diffusion for each pixel, calculate the average gray level of the pixel neighborhood, the human visual perception error and the similarity of the pixel neighborhood;

[0043] Step 2, calculating the quantization error generated by the pixel, and adding the quantization error generated by the pixel to the input pixel to generate a corrected input pixel;

[0044] Step 3, adding the product of the average gray level of the pixel neighborhood in step 1, the human visual perception error and the similarity of the pixel neighborhood to the corrected input pixel to generate a quantized input pixel;

[0045] In s...

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Abstract

The invention relates to an error diffusion method based on the neighborhood gray level information of an image pixel, comprising the following steps: step S1: traverseing each pixel in the image by pixel row by row; 2, before that error diffusion of each pixel, calculating the average gray level of the pixel neighborhood, the human visual perception error and the pixel neighborhood similarity; Step S3, calculating quantization errors generated by pixels, and adding the quantization errors generated by pixels to input pixels to generate corrected input pixels; 4, adding that product of the pixel neighborhood average gray level, the human visual perception error and the pixel neighborhood similarity to the corrected input pixel to obtain a quantized input pixel; 5, comparing that quantizedinput pixel with a threshold value to obtain a final output pixel. The invention can better reproduce image details, retain edges, and eliminate artificial texture phenomenon, so that the image aftererror diffusion has better visual effect.

Description

technical field [0001] The invention relates to the technical field of display image processing, in particular to an error diffusion method based on image pixel neighborhood grayscale information for improving the image display quality of an electrowetting electronic paper display. Background technique [0002] The electrowetting electronic paper display adopts reflective technology, which has the advantages of fast response speed, large viewing angle, low energy consumption and video display, and has broad application prospects. However, the current electrowetting electronic paper driver chip and driving method have limited grayscale realization. In order to display high-grayscale images on low-grayscale displays, the traditional solution is to directly obtain high-bit data of the image, but the low-grayscale The rounding off of data will result in the loss of details, and the image will appear a step jump. Error Diffusion Algorithm is a halftone technique that can effecti...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/94G06T5/00
Inventor 林志贤曾素云林珊玲郭太良钱明勇
Owner FUZHOU UNIVERSITY
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