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Image Enhancement Method Based on Dependent Perception Object Position Reconstruction

An image enhancement and object technology, applied in the field of image processing, can solve the problems of not guaranteeing the correctness of image semantic information, not considering the dependence of foreground images, etc., to achieve the effect of ensuring correctness, accurate semantic information, and beautiful images

Active Publication Date: 2016-09-21
TSINGHUA UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method does not consider the dependence of the foreground image, and cannot guarantee the correctness of the semantic information of the image

Method used

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  • Image Enhancement Method Based on Dependent Perception Object Position Reconstruction
  • Image Enhancement Method Based on Dependent Perception Object Position Reconstruction
  • Image Enhancement Method Based on Dependent Perception Object Position Reconstruction

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] The invention discloses an image enhancement method based on the reconstruction of dependent perceptual object positions, such as figure 1 As shown, the method includes:

[0027] S1, initially extracting the foreground object of the image;

[0028] S2. Dividing the image into several regions, and performing dependency analysis on foreground objects in each region to obtain dependent perception objects;

[0029] S3. Formulate an optimization target that depends on the position of the perceived object according to the aesthetic criteria of photography and rely on the positional relationship between the perceived objects, and optimize the composition;

[0030] S4. Carry out background completion for the missing part of the optimized image, and perform edge trimming to obtain a final image enhancement result.

[0031] This metho...

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Abstract

The invention discloses a dependency perception object position reconfiguration based image enhancing method. The method comprises extracting foreground objects of images preliminarily; dividing the images into a plurality of areas, performing foreground object dependency analysis on each area to obtain dependency perception objects; setting dependency perception object position optimization targets according to photographical artistic criteria and position relations among the dependency perception objects, and performing composition optimization; performing background completion on missing parts of optimized images, and performing trimming processing to obtain final image enhancement results. According to the method, dependency perception objects in images can be analyzed and extracted automatically, and analysis results can be used for image configuration optimization.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image enhancement method relying on perceptual object analysis and position reconstruction. Background technique [0002] With the development of digital media technology, more and more image enhancement techniques are dedicated to improving the visual quality of images. These methods convert human perception of images into computable models, such as hue and sharpness, etc. [0003] Image enhancement and editing technology is a very important tool in the field of computer graphics, such as the Possion blending method proposed by P'erez et al. for image fusion; the Alpha-matting method is used for edge trimming after image synthesis; shape-aware images Editing methods can be used for editing of image content. However, these methods only provide tools for image editing, and do not actively process images according to human senses and photographic viewpoints to make im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 胡事民张方略汪淼
Owner TSINGHUA UNIV