Image sharpness device and method

a technology of image sharpness and device, applied in the field of image sharpness, can solve problems such as ring

Inactive Publication Date: 2007-04-19
AU OPTRONICS CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patent describes a way to improve image quality by reducing noise caused by uneven lighting or shading on images captured from different angles. It involves calculating multiple gradients based on the distance between two points in space and comparing them against a certain threshold. If there are no significant differences, it suggests adding more detail to the image.

Problems solved by technology

The technical problem addressed by this patent is how to improve image quality without generating rings or other unwanted effects during edge detection in images containing characters and patterns.

Method used

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Embodiment Construction

[0027] The following description is of the best-contemplated mode of carrying out the invention. This description is made for the purpose of illustrating the general principles of the invention and should not be taken in a limiting sense. The scope of the invention is best determined by reference to the appended claims.

[0028]FIG. 4 shows a 3×3 pixel image unit 40 of which labels A˜I represent pixels respectively. FIG. 5 is a flowchart of an image sharpness method 500 according to an embodiment of the invention. In step S502, a plurality of sharpness gray level increments for a current pixel is determined in accordance with a non-linear visual function shown in FIG. 6 and gray level differences between the current pixel and the neighboring pixels of the current pixel. Proceeding to step S504, the sum of the sharpness gray level increments is used as a total sharpness gray level increment and the sum of the total sharpness gray level increment and the gray level of the current pixel is

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Abstract

An image sharpness method is provided. The image sharpness method includes the steps of determining a plurality of sharpness gray level increments for a current pixel in accordance with a non-linear visual function and gray level differences between the current pixel and the neighboring pixels of the current pixel, using the sum of the sharpness gray level increments as a total sharpness gray level increment, and using the sum of the total sharpness gray level increment and the gray level of the current pixel as a sharpness gray level of the current pixel.

Description

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Claims

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Application Information

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Owner AU OPTRONICS CORP
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