Content-based image self-adaptation method with combination of rapid seam carving and non-uniform mapping

A technology of non-uniform mapping and slit cutting, which is applied in image enhancement, image data processing, and graphics and image conversion. It can solve the problems of poor speed and effect, achieve good semantic content, realize self-adaptation, and maintain semantic content. Effect

Inactive Publication Date: 2014-07-30
BEIJING UNIV OF TECH
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Problems solved by technology

[0009] The invention invents a fast image self-adaptive method, which combines the advantages of the slit cutting method and the non-uniform mapping method, and solves the problem of poor speed and poor effect when the two are combined

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  • Content-based image self-adaptation method with combination of rapid seam carving and non-uniform mapping
  • Content-based image self-adaptation method with combination of rapid seam carving and non-uniform mapping
  • Content-based image self-adaptation method with combination of rapid seam carving and non-uniform mapping

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Embodiment Construction

[0060] In order to achieve the above problems, the present invention provides an image adaptive method combining content-based fast thin seam cropping and non-uniform mapping. Without loss of generality, take changing the height of the image as an example (the method of changing the width of the image is similar), this method specifically includes:

[0061] 1) Input an original image with a size of W*H, and set its target size to W*H T ;

[0062] 2) Extract the important information of the reference image, and set the important area pixels to 0 and the non-important area pixels to 1 with the threshold.

[0063] 3) Clip the saliency map (Saliency) with a fast slit clipping method based on strips and adjacency. First, the original image is divided into N equally spaced horizontal strips, and then the adjacency-based The quick and easy seam cutting method. Specifically include:

[0064] e. The original image is divided into N equidistant horizontal strips (Strips);

[0065] ...

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Abstract

The invention discloses a content-based image self-adaptation method with the combination of rapid seam carving and non-uniform mapping, and relates to the field of image processing. The content-based image self-adaptation method integrates advantages of a seam carving method and a non-uniform mapping method, and solves the problems that the speed is low and the effect is poor when the rapid seam carving method and the non-uniform mapping method are combined. The content-based image self-adaptation method comprises the steps that firstly, the rapid seam carving method based on a strip and the adjacent degree is adopted, meanwhile, a rapid quality evaluation method is adopted, and important information deformation is monitored; when the deformation exceeds a set index, the seam carving method is stopped, and the non-uniform mapping method is executed, so that image self-adaptation is rapidly achieved, and meanwhile the image semantic content is better kept. According to the content-based image self-adaptation method, whether an image deforms and distorts or not and whether important information is lost or not are used as the judgment criteria, important regional information is effectively protected, the important region is zoomed in an equal proportion mode and does not deform, and the non-important region is compressed, so that global information is ensured.

Description

technical field [0001] The invention relates to a content-based image self-adaptive technology in the field of image processing technology, in particular to the research and realization of an image self-adaptive method combining fast slit cutting and non-uniform mapping. Background technique [0002] With the rapid development of mobile multimedia technology, such as the continuous upgrading of mobile phones and high-definition televisions, display terminals of different types and sizes are emerging to meet various user needs. In order to ensure that users of different devices can comfortably watch the same image content, this requires an image relocation system to make the image content adaptive to user terminals of different sizes and different proportions. Research on adaptive technology that maintains the main content of the image has important application significance. [0003] Traditional image adaptive methods are mainly divided into three types. The first method is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00
Inventor 毋立芳王丽娟荆羽晨郑庆阳刘爽王清
Owner BEIJING UNIV OF TECH
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