Digital image zooming method and system

Abstract

The invention provides a zooming method and a zooming system of a data image, and includes an interpolation-point space position calculation module that is used for calculating the specific position of the prior interpolation point in an original image and calculating the correspondent zooming ratio, a correlation-degree calculation module that is used for calculating the correlation degree on different directions according to the different positions of the interpolation points, a classification judging module that is used for classifying the interpolation points on different directions, a reference-point and correspondent direction obtaining module that is used for selecting four reference points on the most relevant corresponding direction and calculating the corresponding direction of the interpolation point in the four reference points that have the most correlation degree, and an inner-interpolation module that is used for the interpolation on different directions. Under the condition that the integration is rather simpler, the method of the invention can select the appropriate correlation-point information for the interpolation according to the content of the image, and obtain relevant reference-point data so as to reform the interpolation point value according to the inner interpolation direction, thereby effectively protecting the border of the object and suppressing the vagueness of the valuable information.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to a digital image scaling method and system. Background technique [0002] In a flat-panel TV, since the number of pixels per row and the number of rows per frame of the input image and the output image to be displayed are different, the main drive control chip SCALER is needed to perform space scaling. The so-called spatial scaling of the image is image interpolation. Generally, when the image is enlarged, the high-frequency component of the image will be lost, and the image will appear blurred. The more complex the image scaling method, the better the effect, but it is very difficult to implement on an integrated circuit. . [0003] A large number of image scaling algorithms have been disclosed in the prior art. For example, Chinese Patent Application No. 03111801.1 discloses a digital image scaling integrated circuit design method, in which the upward scaling...

AI Technical Summary

Problems solved by technology

However, each of the above methods has a common shortcoming, that is, the edge direction of the image is not considered, and only the spatial position information is used in the interpolation process to determine the correlation between the point to be interpolated and the surrounding points, and the interpolation coefficient is determined in advance. irrelevant

In this way, at the boundary or details of the object, the irrelevant two parts of the content are combined to generate an interpolation point, and blurring is unavoidable. Therefore, in the above existing methods, the edge part of the image will be blurred.

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