Quick seam carving method based on strips and adjacency

Abstract

The invention discloses a quick seam carving method based on strips and adjacency, and belongs to the field of images. A quick seam carving method is improved and constrained by combining the thought of the adjacency and the strips, so that seams can be uniformly distributed in each area of an image, and a satisfactory result is achieved. The method comprises the following steps of: dividing the image into a plurality of strips at equal intervals, calculating the average importance of the strips by using a significant diagram corresponding to the image, obtaining the target size of each strip according to the importance of the strip and the target size of the whole image by solving an optimization problem with a constraint condition, and acquiring a target size image by adopting the quick seam carving method combining the adjacency in each strip. The calculation speed of the method is further higher than that of other seam carving methods, and the quality of the obtained result image is better than that of the conventional quick seam carving method, so the method has certain application value and significance.

Description

technical field [0001] The invention relates to content-aware-based image scaling technology in the technical field of image processing, in particular to the research and implementation of a fast thin seam cutting method based on strips and adjacent degrees. Background technique [0002] With the rapid development of Internet technology and the continuous improvement of the hardware level of digital devices, terminal devices suitable for different networks are constantly updated, such as TVs, laptops, PDAs, mobile phones, etc., they have different types of display sizes, but most images They are all produced with a certain fixed size and aspect ratio. When displaying them on different types of digital devices, it is usually necessary to change their size and aspect ratio to adapt to various display devices. Traditional image scaling methods are mainly divided into three types, one of which is to obtain an image of the target size through interpolation or downsampling of the ...

AI Technical Summary

Problems solved by technology

[0008] Since the current image scaling methods have their own advantages, disadvantages and limitations, the present invention aims at the problem of slow speed of the slit cutting method, and the problem of faults or discontinuities in the resulting image due to the centralized removal of slits, and provides a fast Image scaling technique based on stripes and adjacency

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