Image target repositioning method based on local uniform scaling

Abstract

The invention discloses an image target repositioning method based on local uniform scaling. The method comprises the steps that firstly, a source image I is decomposed into a cartoon part u and a texture part v; then, high-order statistics (HOS) of each pixel on the cartoon part u is calculated, detecting salient edges to obtain an energy map of the source image, and the source image is divided into a part I1, a part I2 and a part I3 according to the position of salient targets on the energy map, wherein the part I1 and the part I3 are background parts, and the part I2 is a salient region; finally, scaling is carried out on the background parts I1 and I3 and the salient region I2 according to different scaling proportions to obtain a target image. According to the image target repositioning method, the salient targets and the large-scale structure of the image can be accurately detected, meanwhile, the scaling speed is higher compared with other content-based scaling algorithms, the large-scale structure of the image can be well protected against damage, and smoothness and continuity of the large-scale structure are kept.

Description

technical field [0001] The invention relates to an image processing technology, in particular to an image object relocation method. Background technique [0002] In recent years, digital images have become more and more widely distributed in all aspects of the media field, and the development of mobile multimedia such as mobile phones and tablet computers has enriched the forms we browse images and videos. In order for images to be displayed normally on these devices, it is usually necessary to change the size of the image to fit the screen resolution of these devices. This process of changing the image size or resolution for a certain need is usually called image target relocation or image zoom. At present, the most commonly used image scaling method is uniform scaling, that is, through downsampling or image interpolation to achieve the purpose of reducing or enlarging the image, but because it fails to take into account the content of the image while changing the image si...

AI Technical Summary

Problems solved by technology

[0006] 3. The target image should have no obvious visual distortion or distortion

As the earliest and most common image scaling method, uniform scaling has many advantages such as fast speed and high matching rate of the source image. Its biggest defect is that it cannot take care of the image content and cause image distortion during the scaling process.

The subsequently proposed and widely studied seam carving algorithm is sensitive to salient objects, but it is easy to cause damage to large-scale structures due to excessive seam removal.

Subsequent researchers made some improvements to the seam carving algorithm, and proposed a forward energy algorithm, which minimizes the newly introduced energy after the image is removed from the seam, making the deformation caused by image processing relatively imperceptible.

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