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Method and system for beautifying image

An image and pixel technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as the inability to automatically enhance the sense of beauty and the concept of inability to define beauty

Active Publication Date: 2021-09-28
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these technologies are basically artificially defined tools, which cannot automatically enhance the beauty of any scene or any image / picture, that is, the existing technology cannot define the concept of "beauty" in any image

Method used

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  • Method and system for beautifying image
  • Method and system for beautifying image
  • Method and system for beautifying image

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Embodiment Construction

[0077] In the following description, many technical details are proposed in order to enable readers to better understand the application. However, those skilled in the art can understand that the technical solutions claimed in this application can be realized even without these technical details and various changes and modifications based on the following implementation modes.

[0078] Explanation of terms:

[0079] Neuroaesthetics Hypothesis: It means that beautiful images will make the neural network enhance the salient signal and weaken the noisy signal.

[0080] Superpixels: In the field of computer vision, image segmentation (Segmentation) refers to the process of subdividing a digital image into multiple image subregions (collections of pixels) (also known as superpixels). A superpixel is a small area composed of a series of adjacent pixels with similar characteristics such as color, brightness, and texture. Most of these small areas retain effective information for fu...

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Abstract

The invention relates to the field of computer vision and the technical field of machine learning, and discloses a method and a system for beautifying an image, which can automatically improve the aesthetic feeling of any image without any additional artificial aesthetic information annotation. The method comprises the following steps: providing a to-be-beautified image; inputting the to-be-beautified image into a neural network, wherein the neural network is a pre-trained deep neural network oriented to visual application; calculating a marginal utility generated by each pixel or superpixel in the image to network output based on an intermediate layer output of the neural network, and determining a significant signal and a noise signal in the image based on the marginal utility; and suppressing the noise signal and / or enhancing the significant signal to obtain a beautified image.

Description

technical field [0001] The present application relates to the field of computer vision and the field of machine learning technology, in particular to a method and system technology for beautifying images. Background technique [0002] At present, image quality improvement technology usually uses a supervised learning method to use a large amount of human-labeled aesthetic information to learn a neural network to imitate people's aesthetics. However, these technologies are basically artificially defined tools, which cannot automatically enhance the beauty of any scene or any image / picture, that is, existing technologies cannot define the concept of "beauty" in any image. [0003] Therefore, it is an urgent problem to be solved to automatically enhance the beauty of any image by defining the concept of "beauty" in the image and relying on it. Contents of the invention [0004] The purpose of this application is to provide a method and system for beautifying images, which ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/13G06N3/08
CPCG06T7/13G06N3/08G06T5/92G06T5/73G06T5/70
Inventor 张拳石程煦
Owner SHANGHAI JIAO TONG UNIV
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