Salient information guided image irregular mosaic splicing method

Abstract

The invention discloses a salient information guided image irregular mosaic splicing method. The main objective of the invention is to solve the problems of large number of jagged structures at the boundary of a target and the lack of detailed information in the prior art. The implementation process of the method includes the following steps that: 1, a target image is inputted, and the salient region of the image is extracted; 2, the target image is segmented into grid images with different densities according to saliency levels; 3, the color mean value characteristics of the images of a splicing image set and the grid regions of the target image are extracted; 4, splicing images of which the color characteristics are most similar to the color characteristics of the grid regions are selected for the grid regions; and 5, the width and height information of the grid regions are extracted, and corresponding splicing images are shrunk and expanded according to the width and height information of the grid regions, and the splicing images are aligned with the grid regions and are trimmed, and the trimmed splicing images are filled in corresponding grids, and mosaic filling of the whole image is completed. With the method of the invention adopted, the ornamental value of a mosaic spliced image can be kept, and the detailed information of the target image can be enhanced. The method of the invention can be applied to image transmission, image security, image information hiding and advertisement design.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to an image splicing method, which can be used for image transmission, image security, image information hiding and advertisement design. Background technique [0002] Image mosaic stitching technology is to replace each pixel or area of ​​the target image with a similar image, so that the target image after mosaic stitching is similar to the original target image when viewed from a certain distance; Each pixel or region is an independent image. In addition to the application of image aesthetics and art, mosaic stitching technology also has great potential in the fields of image transmission, image security, image information hiding and advertising design. [0003] Existing researchers' research on image mosaic stitching began with the DominoPix computer graphics system released by Ken Knowlton in 1982. This system is mainly used for image mosaic stitching in th...

AI Technical Summary

Problems solved by technology

[0005] Regardless of the traditional image mosaic stitching or the saliency-guided image mosaic stitching, when processing the edge area in the target image, due to the use of the rectangular segmentation method, there will be different degrees of jagged effect at the edge of the target, resulting in the edge of the target image being blurred. loss of clarity and detail

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