Image scaling method based on content awareness

Abstract

The invention relates to an image scaling method based on content awareness, and relates to graphic image conversion in an image plane. An energy function is obtained by adopting a hybrid feature model fusing a salient map, an edge line map and a gradient map, and according to the energy function, a line clipping operation is carried out to complete image scaling. The image scaling method comprises the steps of: inputting a color image to carry out preprocessing; simultaneously carrying out extraction of the salient map and a salient target image of an original color image, extraction of the edge map of a gray scale image, which is fused with line information, and extraction of the gradient map of the gray scale image; fusing three feature maps by utilizing an HFPM (hybrid feature model) algorithm so as to obtain the energy function; and clipping the original image by using a line clipping algorithm. The method disclosed by the invention overcomes the defects that an existing line clipping method adopts a gradient map definition energy function of an image and still causes distortion and loss of partial image information in the image scaling process.

Description

technical field [0001] The technical solution of the present invention relates to graphic image conversion in an image plane, in particular to an image scaling method based on content perception. Background technique [0002] With the rapid development of computer science and technology, information home appliances have brought great convenience to our lives. Since different information home appliances do not have uniform size specifications, the size of the required display image and the size of the information home appliance display device exist. The difference, so that the image is displayed abnormally in the display device, and the research on image scaling technology will help to solve the above problems. [0003] One of the traditional image scaling methods is to obtain an image of the target size through interpolation and downsampling. Although the principle of this algorithm is simple and easy to implement, it has the following defects: First, when it is necessary to...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a content-aware image scaling method, which uses a hybrid feature model (hereinafter referred to as HFPM) that combines saliency maps, edge line maps, and gradient maps to obtain an energy function, and performs line scaling according to the energy function. The cropping operation completes the zooming of the image, which overcomes the defects that the existing line clipping method uses the gradient map of the image to define the energy function, and there are still distortions and partial image information loss when the image is zoomed.

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