Visual-watermarking-system-based-on-digital-image | 数字图像可视化水印系统的设计与实现

by skyerhxx Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Visual-watermarking-system-based-on-digital-image Summary

Visual-watermarking-system-based-on-digital-image is a Python library. Visual-watermarking-system-based-on-digital-image has no bugs, it has no vulnerabilities and it has low support. However Visual-watermarking-system-based-on-digital-image build file is not available. You can download it from GitHub.

数字图像可视化水印系统的设计与实现(LSB算法、DCT算法、随机间隔算法、区域校验位算法、图像降级算法、图像降级算法改进等6种数字水印算法的实现)

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Quality

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Support

Visual-watermarking-system-based-on-digital-image has a low active ecosystem.

It has 17 star(s) with 3 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Visual-watermarking-system-based-on-digital-image has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Visual-watermarking-system-based-on-digital-image is current.

Quality

Visual-watermarking-system-based-on-digital-image has no bugs reported.

Security

Visual-watermarking-system-based-on-digital-image has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Visual-watermarking-system-based-on-digital-image does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Visual-watermarking-system-based-on-digital-image releases are not available. You will need to build from source code and install.

Visual-watermarking-system-based-on-digital-image has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Visual-watermarking-system-based-on-digital-image and discovered the below as its top functions. This is intended to give you an instant insight into Visual-watermarking-system-based-on-digital-image implemented functionality, and help decide if they suit your requirements.

Function to create a DCT
Generate random interval
Get key from string
Add 8 to the string
Takes a DCT
Convert a string to an integer
This function is used to initialize the LSB script
This function is used to identify two images
Multiplies x and y
Create LSB - random interval
This function is used for testing
Convert from q to w
Showlsb_regional_verification
Calculates the size of quyjia
Open LSB file
Takes two strings
Creates a new tiquijijijijijian file
Salsaijijijkij
Open Quyjia txt
Takes two Quyjiaji images

Get all kandi verified functions for this library.

Visual-watermarking-system-based-on-digital-image Key Features

No Key Features are available at this moment for Visual-watermarking-system-based-on-digital-image.

Visual-watermarking-system-based-on-digital-image Examples and Code Snippets

No Code Snippets are available at this moment for Visual-watermarking-system-based-on-digital-image.

Community Discussions

No Community Discussions are available at this moment for Visual-watermarking-system-based-on-digital-image.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Visual-watermarking-system-based-on-digital-image

You can download it from GitHub.
You can use Visual-watermarking-system-based-on-digital-image like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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