A Novel High Capacity Data Hiding Algorithm Using Salt and Pepper Noise

Project Code :TMMAIP63

Objective

In this paper, a novel algorithm is proposed by merging two concepts of data hiding and salt-pepper noise removal to increase the capacity of the data hiding security

Abstract

The existing method uses LSD summation relationship from two neighboring pixels is adopted for adjusting pixel values for data hiding. Instead, in order to improve the image quality we proposed a method of data hiding using salt and pepper noise. In this paper, a novel algorithm is proposed by merging two concepts of data hiding and salt-pepper noise removing. Here we are embedding the data bits into image. Data extraction can be done in the reverse direction and noise is removed by using BM3D filter. The main aim of designing algorithms for data hiding applications are to increase the hiding capacity and maintain the original image quality. We can calculate the parameters like PSNR, SSIM and the experimental results show that the proposed data hiding algorithm can have better performance than other schemes. Also, the better image quality can be assured.

 

Keywordsβ€”Data Hiding, High Capacity, Salt and Pepper Noise.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software & Hardware Requirements:

Software: Matlab 2018a or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all Math Works products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    • Image compression
    • Morphological processing
    • Segmentation etc.,
  • How to hide the data using Image Processing
  • How to extend our work to another real time applications
  • Project development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

Demo Video