Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Adaptive image watermark embedding method based on wavelet transform and visual characteristics

A technology of wavelet transform and visual characteristics, applied in image data processing, image data processing, instruments, etc., can solve the problem that the quality of watermarked images cannot be measured only by PSNR

Inactive Publication Date: 2016-04-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing experiments show that the quality of watermarked images cannot only be measured by PSNR, but also related to people's subjective visual experience

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
  • Adaptive image watermark embedding method based on wavelet transform and visual characteristics
  • Adaptive image watermark embedding method based on wavelet transform and visual characteristics
  • Adaptive image watermark embedding method based on wavelet transform and visual characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0058] figure 1 It is a flowchart of an adaptive image watermark embedding method based on wavelet transform and visual characteristics. Such as figure 1 As shown, the adaptive image watermark embedding method based on wavelet transform and visual characteristics provided by the present invention includes:

[0059] Step 1: Grayscale the image.

[0060] The grayscale processing of the image is to convert the color image into a grayscale image, and convert the values ​​of the pixels in the image on the three color components (R, G, B) into one value. There are many methods for image grayscale processing, such as the maximum value method, that is, taking the maximum value of the pixel in the three color components as ...

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 discloses a self-adaptive image watermark embedding method based on wavelet transformation and visual characteristics in the technical field of digital image information security. The self-adaptive image watermark embedding method includes the steps of performing grey processing on an image, calculating a comprehensive visual masking value of each pixel in the image, performing wavelet transformation on the image to obtain a low-frequency component wavelet coefficient, a high-frequency horizontal component wavelet coefficient, a high-frequency vertical component wavelet coefficient and a high-frequency diagonal component wavelet coefficient of each pixel in the image, calculating visual masking values of the low-frequency component wavelet coefficients and visual marking values of the high-frequency diagonal component wavelet coefficients respectively, averagely dividing a watermark sequence into two watermark sub-sequences, determining the positions where the low-frequency component wavelet coefficients are embedded into a watermark, embedding the low-frequency component wavelet coefficients into one watermark sub-sequence, determining the positions where the high-frequency diagonal component wavelet coefficients are embedded into a watermark, embedding the high-frequency diagonal component wavelet coefficients into the other watermark sub-sequence, and finally performing wavelet transformation to obtain the image with the watermarks embedded. According to the self-adaptive image watermark embedding method, invisibility and robustness of the watermarks are improved.

Description

technical field [0001] The invention belongs to the technical field of digital image information security, in particular to an adaptive image watermark embedding method based on wavelet transform and visual characteristics. Background technique [0002] In recent years, the emergence of digital media has made it easier for people to process, share and transmit information. However, with the rapid development and wide application of digital media technology, the copyright protection of digital media has attracted more and more attention. Digital watermarking technology Came into being. According to the carrier of watermark embedding, digital watermarking can be divided into image watermarking, audio watermarking and video watermarking, among which image watermarking is more concerned by researchers because of its wide application prospect. [0003] Digital image watermarking technology is a technology that embeds watermark information (usually a Logo image) into the original...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
Inventor 焦润海马思达李博
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products