BP neural network digital image compression based image watermark embedding and extracting method

A BP neural network and digital image technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as poor imperceptibility, complex training samples, and slow training samples

Inactive Publication Date: 2015-02-18
HENAN NORMAL UNIV
View PDF2 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for embedding and extracting image watermarks to solve the defects of conventional BP neural network watermarks. Through further expansion and improvement, it can also s

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • BP neural network digital image compression based image watermark embedding and extracting method
  • BP neural network digital image compression based image watermark embedding and extracting method
  • BP neural network digital image compression based image watermark embedding and extracting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with the embodiments of the accompanying drawings.

[0049] Considering the security of image watermarking, the present invention utilizes compressed domain image watermarking technology to propose an image watermark embedding and extraction method based on BP neural network digital image compression, which improves the Arnold transform algorithm by increasing the number of variables and expanding the transformation space. The watermark image is scrambled, and the number of keys is increased to improve the security of the watermark; then combined with the BP neural network to compress the image, the watermark image can still remember the value of the pixel at the determined position after experiencing various attacks, thereby realizing Correct detection of watermarks. The invention fully combines the characteristics of space domain and machine learning, and optimizes its algorithm, realizes t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a BP neural network digital image compression based image watermark embedding and extracting method. The method includes: S1a, performing scrambling treatment on an original watermark image to acquire the scrambled watermark image; S2a, establishing a BP neural network and setting transfer function, training adjustment function, the number of training, neuron activation function thresholds, learning constant and compressibility factors of the BP neural network; S3a, dividing the scrambled watermark image into image embedding blocks, setting input and output expectations as carrier image blocks, and training the carrier image blocks through the BP neural network to acquire output O of a hidden layer; S4a, embedding watermarks in the output O of the hidden layer, and decompressing compressed images embedded with watermark image information to obtain carrier images embedded with the watermarks. The invention further provides a BP neural network digital image compression based image watermark extracting method.

Description

technical field [0001] The invention relates to a digital image watermark technology in the field of information security, in particular to an image watermark embedding and extraction method based on BP neural network digital image compression. Background technique [0002] As an effective supplement to traditional encryption methods, digital image watermarking uses data embedding methods to hide in digital image products to prove the creator's ownership of his works, and as a basis for identification and prosecution of illegal infringement. At the same time, through the detection of watermark And analysis to ensure the integrity and reliability of digital information, thus becoming an effective means of intellectual property protection and digital multimedia anti-counterfeiting, has aroused people's great attention in recent years, and has become a hot spot in international academic research. For image watermarking to play its due role, it must have two basic elements: robu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T1/00
Inventor 孙林徐久成穆晓霞申长安石庆民王振华赵永进张会芝
Owner HENAN NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap