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Image watermark embedding method and device based on self-adaptive feature point extraction

A technology of feature point extraction and image watermarking, applied in image watermarking, image analysis, image enhancement, etc., to achieve good robustness

Active Publication Date: 2019-12-13
袁小晨
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing feature extraction methods extract feature points globally, resulting in some unnecessary key points

Method used

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  • Image watermark embedding method and device based on self-adaptive feature point extraction
  • Image watermark embedding method and device based on self-adaptive feature point extraction
  • Image watermark embedding method and device based on self-adaptive feature point extraction

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Experimental program
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Embodiment approach

[0055] Concrete implementation scheme is as follows:

[0056] S510 Calculate the Euclidean distance between every two feature points corresponding to the local feature point and the global feature point.

[0057] S520 calculates a ratio of the closest Euclidean distance to the second closest Euclidean distance.

[0058] S530 If the ratio of the closest Euclidean distance to the second closest Euclidean distance is greater than a corresponding set maximum ratio, delete the corresponding local feature point and the overall feature point.

[0059] Calculate the Euclidean distance between every two feature points belonging to the local feature point set and the global feature point set; and use the calculation of the closest Euclidean distance and the second closest Euclidean distance ratio, expressed as if is greater than the corresponding MaxRatio (maximum ratio), the corresponding local feature points and global feature points are deleted.

[0060]

[0061] Among them,...

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Abstract

The embodiment of the invention provides an image watermark embedding method based on adaptive feature point extraction, and the method comprises the steps: obtaining an original image, and extractingglobal feature points from the original image; performing attack training on the original image to generate a trained image; segmenting the trained image into a plurality of segmentation regions by using a simple linear iterative clustering algorithm; calculating the complexity of the segmentation area; when the complexity of the segmentation area exceeds a set threshold value, adjusting the sizeof the segmentation area until the complexity of the segmentation area is lower than the set threshold value; extracting local feature points in the segmentation area; performing sexual adaptive matching on the local feature points and the global feature points to determine final feature points; and embedding the watermark into the host image. The watermark embedding method provided by the embodiment of the invention has better robustness.

Description

technical field [0001] The invention belongs to the technical field of digital watermarking, in particular to an image watermarking embedding method and device based on adaptive feature point extraction. Background technique [0002] Nowadays, copies of digital media can be easily reproduced, transmitted and distributed, so watermarking technology has become an effective way to protect copyright information. Digital image watermarking schemes can be divided into global image watermarking and local image watermarking by embedding watermark information into the whole image or a specified local area. In addition, digital image watermarking schemes are also divided into single watermarking and multiple watermarking. [0003] In local watermarking schemes based on feature extraction, feature extraction with high stability plays a decisive role. But most of the existing feature extraction methods extract feature points globally, resulting in some unnecessary key points. For exa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06T7/11G06T7/136G06K9/62
CPCG06T1/005G06T7/11G06T7/136G06T2207/20064G06T2207/20081G06T2201/0065G06F18/22
Inventor 袁小晨李冕杰朱红岷
Owner 袁小晨