Image processing equipment and image data interpolating method

Abstract

The invention provides an image processing device and an image data interpolating method. The image processing device comprises a receiving module, an edge pixel point judging module, an interpolation point position generating module, an edge judging module, a position judging module and an interpolation point pixel value generating module. The receiving module is used for receiving the image data including a plurality of pixel points; the edge pixel point judging module is used for judging whether the pixel value of each pixel point belongs to an edge pixel point; the interpolation point position generating module is used for generating a plurality of interpolation point positions so as to produce position relation data between each interpolation point position and four neighboring pixel points; the edge judging module is used for judging whether each interpolation point and the four neighboring pixel points have edges so as to generate edge relation data; the position judging module is used for judging whether each interpolation point is positioned in a central area according to the position relation data; the interpolation point pixel value generating module is used for generating a pixel value for each interpolation point according to the position relation data and the edge relation data so as to finish generating each interpolation point. The method of the invention takes advantages of the edge relation data and the position relation data, considers the happening status of an extremum point and chooses different algorithms according to the position to adjust the pixel value of the interpolation point, thereby maintaining the image sharpness after interpolation.

Description

technical field [0001] The present invention relates to an image processing device, and in particular to an image processing device and an image data interpolation method. Background technique [0002] In various technologies in the field of image processing, in order to increase the frame rate, it is often necessary to interpolate the image data to further improve the frame quality. The so-called interpolation is to insert new pixels between the pixels of the original image, that is, interpolation points. In the image interpolation method in the prior art, the edge portion in the image is determined by judging whether the difference between the pixel values ​​of each other is greater than a critical value between the pixels of the original image. Whether the edge part can be completely displayed on the display frame determines the sharpness of the display frame. The determination of the pixel of the interpolation point is based on whether the adjacent pixels around the po...

AI Technical Summary

Problems solved by technology

However, in the above method, only the difference between pixel values ​​is used as the judgment condition, which cannot reflect the situation that one of the pixels between the adjacent pixels of the interpolation point has a maximum value or a minimum value, nor can it be used for interpolation. Consider the distance relationship between the interpolation point and the adjacent pixel points in more detail

Therefore, such a judging method tends to reduce the edge sharpness of the final calculated interpolation point, and make the edge of the image appear blurred after the interpolation is completed, resulting in a poor display result.

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