Adaptive Image Scaling Method Based on Visual Saliency Detection in DCT Domain

Abstract

The invention discloses a self-adaption image scaling method for the visual-saliency detection based on DCT-domain. The method comprises the following steps: decoding part of a JPEG image to a DCT domain and obtaining a visual-saliency detecting diagram; performing threshold segmentation on the visual-saliency detecting diagram so as to obtain a spacial energy distributing diagram; extracting a visual salient region from the energy distributing diagram so as to obtain the size and the location of a protective frame and an energy distributing diagram containing the protective frame; calculating the number of clipping lines required to be deleted according to the size of the protective frame, and performing line clipping based on DCT blocks according to the number of the clipping lines required o be deleted and the protected energy diagram, finally, performing fine adjustment according to the resolution ratio of a user terminal, so as to obtain the output of an image satisfying the size requirement of the user terminal. Through the implementation of the method disclosed by the invention, visual salience content can be detected and protected, so that the quality of the image scaling technique is improved.

Description

technical field [0001] The invention relates to an image scaling method, in particular to an adaptive image scaling method based on visual saliency detection in DCT domain. Background technique [0002] Content-aware image scaling method - compared with traditional scaling methods such as nearest neighbor interpolation, bilinear interpolation and cropping, the line cropping method can change the aspect ratio of the image at will without distorting the content, which is very suitable for Mobile terminal devices are now displaying increasingly diverse sizes. The following briefly introduces several existing image scaling methods based on line cropping. [0003] The first type of method uses line cropping technology alone for image scaling. The scaling method is to find optimal cropping gaps on the image energy map, and then change the image size by inserting or removing cropping gaps. However, the disadvantage of this method is that only relying on deleting the cropping gap ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of existing image scaling methods that fail to reflect high-quality visual effects, and provide an adaptive image scaling method based on visual saliency detection in the DCT domain to obtain higher-quality visual experience effects. thereby improving the performance of image scaling techniques

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