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Adaptive image scaling method

An image scaling and self-adaptive technology, applied in the field of image processing, can solve problems such as jaggedness or flickering, loss of boundary definition, etc., achieve good definition, good visual effect, improve the effect of edge aliasing and partial information loss

Inactive Publication Date: 2010-12-22
融创天下(上海)科技发展有限公司
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AI Technical Summary

Problems solved by technology

Although the current nearest neighbor method, cubic convolution and other algorithms can maintain clear boundaries, there will be undesirable phenomena such as jagged or flickering
However, bilinear interpolation and image reduction weighted average algorithms based on mapped image sub-blocks will lose the definition of the boundary

Method used

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Embodiment Construction

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

[0040] Please refer to the attached figure 1 , what the present invention provides is a kind of self-adaptive image scaling algorithm, the scaling algorithm of different modes is adaptively selected according to the scaling ratio, the technical scheme of the present invention, according to the scaling ratio from cubic rational spline interpolation, weighted cubic rational spline interpolation and mapping-based Choose from three modes of the image reduction algorithm for image sub-blocks, as follows:

[0041] if(Re size_xy>Thres 1 )

[0042] cubic rational spline interpolation

[0043] else if(Re size_xy>Thres 2 )

[0044] Weighted Cubic Rational Spline Interpolation

[0045] else

[0046] Image Reduction Algorithm Based on Mapping Image Subblocks

[0047] Among them, Re size_xy is d...

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Abstract

The invention relates to a adaptive image scaling method which comprises the following steps: Re size_xy is set as the scaling ratio, Thresi i=1, 2 is set as the threshold values, wherein Thres1 is more than Thres2; if Re size_xy is more than thres1, triple rational spline interpolation is adopted; if Re size_xy is more than Thres2, then weight triple rational spline interpolation is adopted; and as for other conditions, the image reduction algorithm based on a mapping image sub-block is adopted. On one hand, the new algorithm of multi-mode image scaling can self-adaptively choose a scaling algorithm according to the scaling ratio and enable the image scaling effect to achieve fine visual effect. On the other hand, the weight triple rational spline interpolation can improve the situations in which edge sawtooth emerges and part of information is lost after an image is reduced and maintain fine definition of other regions.

Description

【Technical field】 [0001] The invention relates to the field of image processing, in particular to an adaptive image scaling method. 【Background technique】 [0002] Enlarging the original image is the process of image interpolation, and image reduction processing is the process of extracting the original image. The image source at the video codec end often needs to zoom the original image due to reasons such as acquisition conditions, transmission bandwidth, and user-side requirements. . In digital image and video processing, the scaling operation of an image is a process with relatively complicated calculations, because an interpolation operation needs to be performed on the image during the scaling process of the image. The existing interpolation methods used in image scaling mainly include the following types: nearest neighbor interpolation, bilinear interpolation and Bicubic Interpolation. Among them, the nearest neighbor interpolation is the closest A simple algorithm,...

Claims

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Application Information

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IPC IPC(8): G06T3/40
CPCG06T3/00
Inventor 舒倩
Owner 融创天下(上海)科技发展有限公司
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