A LSB BASED STEGANOGRAPHY FOR VIDEO STREAM WITH ENHANCED SECURITY AND EMBEDDING/EXTRACTION Full Matlab Project

ABSTRACT

Video Steganography deals with hiding secret data or information within a video. In this paper, a hash based least significant bit (LSB) technique has been proposed. A spatial domain technique where the secret information is embedded in the LSB of the cover frames. Eight bits of the secret information is divided into 3,3,2 and embedded into the RGB pixel values of the cover frames respectively. A hash function is used to select the position of insertion in LSB bits. The proposed method is analyzed in terms of both Peak Signal to Noise Ratio (PSNR) compared to the original cover video as well as the Mean Square Error (MSE) measured between the original and stenographic files averaged over all video frames. Image Fidelity (IF) is also measured and the results show minimal degradation of the stenographic video file. The proposed technique is compared with existing LSB based Steganography and the results are found to be encouraging. An estimate of the embedding capacity of the technique in the test video file along with an application of the proposed method has also been presented.

PROJECT OUTPUT 

Contact:  

Prof. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

Audio Noise Reduction from Audio Signals and Speech Signals Using Wavelet Transform Matlab Project

ABSTRACT

           Speech signal analysis is one of the important areas of research in multimedia applications. Discrete Wavelet technique is effectively reduces the unwanted higher or lower order frequency components in a speech signal. Wavelet-based algorithm for audio de-noising is worked out. We focused on audio signals corrupted with white Gaussian noise which is especially hard to remove because it is located in all frequencies. We use Discrete Wavelet transform (DWT) to transform noisy audio signal in wavelet domain. It is assumed that high amplitude DWT coefficients represent signal, and low amplitude coefficients represent noise. Using thresholding of coefficients and transforming them back to time domain it is possible to get audio signal with less noise. Our work has been modified by changing universal thresholding of coefficients which results with better audio signal. In this various parameters such as SNR, Elapsed Time, and Threshold value is analyzed on various types of wavelet techniques alike Coiflet, Daubechies, Symlet etc. In all these, best Daubechies as compared to SNR is more for Denoising and Elapsed Time is less than others for Soft thresholding. In using hard thresholding Symlet wavelet also works better than coiflet and Daubechies is best for all. Efficiency is 98.3 for de-noising audio signals which also gives us better results than various filters.

         Audio noise reduction system is the system that is used to remove the noise from the audio signals. Audio noise reduction systems can be divided into two basic approaches. The first approach is the complementary type which involves compressing the audio signal in some well-defined manner before it is recorded (primarily on tape). The second approach is the single-ended or non-complementary type which utilizes techniques to reduce the noise level already present in the source material—in essence a playback only noise reduction system. This approach is used by the LM1894 integrated circuit, designed specifically for the reduction of audible noise in virtually any audio source. Noise reduction is the process of removing noise from a signal.

PROJECT OUTPUT

Contact:  

Prof. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

An Implementation of Palm Print Recognition System Using Gabor Filter Full Matlab Project

ABSTRACT

                   Palm  print  authentication  is  one  of  the  modern  bio-metric techniques, which employs the vein pattern  in  the  human palm  to  verify  the  person.  The merits  of  palm  vein  on classical  bio-metric  (e.g.  fingerprint,  iris,  face)  are  a  low risk  of  falsification,  difficulty  of  duplicated  and  stability. In  this  Project,  a  new  method  is  proposed  for  personal verification  based  on  palm  Print  features.  In  the propose method,  the  palm  vein  images  are  firstly  enhanced  and then  the  features  are extracted  by  using  bank  of  Gabor filters. Bio-metric   technology   refers   to   a pattern   recognition system  which  depends  on  physical  or  behavioral  features for the  person  identification.

PROJECT OUTPUT

Contact:  

Prof. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

Region of Interest (ROI) Based Image Compression Full Matlab Project Code

ABSTRACT
                  The main goal of region of interest (ROI) based Image compression is to enhance the compression efficiency for transmission and storage.Thus, the ROI area is compressed with lossles compression scheme and the background with the lossy compression scheme

Algorithm Steps

    Initialize the parameters of an image and load the original image to be compressed.
    Select ROI
    Create Mask
    Seperate BG in another image.
    Encoding of ROI region is performed selectively with JPEG with lossless scheme
    Encoding of BG region is performed selectively with JPEG with Lossy Scheme
    Merge the ROI and BG.
    After reconstruction, the image is correlated with original image.
    Evaluate the result using parameters like PSNR and MSE.
 

 PROJECT OUTPUT

Contact:  

Mr. Roshan P. Helonde

Mobile / WhatsApp:+917276355704

Email: roshanphelonde@rediffmail.com

Read More

Red Colour Object Tracking Complete Full Matlab Code

ABSTRACT
             This code is used to track red colour objects in a Video.the same code can be used for tracking other colour


OUTPUT

Contact:  

Mr. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

Background Subtraction Using Fuzzy Complete Full Matlab code

ABSTRACT
               Background subtraction (BGS) is a commonly used technique for achieving this segmentation. Background subtraction is a widely used approach to detect moving objects from static and dynamic cameras. Many different methods have been proposed over the recent years and there are a number of object extraction algorithms proposed in this survey it has most efficiently constrained environments where the background is relatively easy and static. In this paper, we analysis most popular, state-of- the-art BGS algorithms and propose a neuro fuzzy model for determining thresholds, we examine how threshold algorithm poor their performance. Our method shows that threshold plays a major role in obtaining the foreground segmentation masks produced by a BGS algorithm and our experimental results demonstrate that neuro fuzzy system is much more accuracy and robust than existing system approaches.

OUTPUT

Contact:  

Mr. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

Drowsy Driver Detection Complete Full Matlab code

ABSTRACT
               Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness  has been done thru several methods, some research used EEG for drowsy detection ,and some used eyeblink sensors,this project uses web camera for Drowsy detection.Webcamera is connected to the pc and images were acquired and processed by matlab. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye  movements of a driver in real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.

How It Works

 OUTPUT

Contact:  

Mr. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More

Micro Calcification Detection Using Wavelet Transform Full Matlab Project

ABSTRACT

            The World Health Organization's International agency for Research on Cancer in Lyon, France, estimates that more than 150 000 women worldwide die of breast cancer each year. The breast cancer is one among the top three cancers in American women. In United States, the American Cancer Society estimates that, 215 990 new cases of breast carcinoma has been diagnosed, in 2004. It is the leading cause of death due to cancer in women under the age of 65 . In India, breast cancer accounts for 23% of all the female cancers followed by cervical cancers (17.5%) in metropolitan cities such as Mumbai, Calcutta, and Bangalore. However, cervical cancer is still number one in rural India. Although the incidence is lower in India than in the developed countries, the burden of breast cancer in India is alarming. Organ chlorines are considered a possible cause for hormone-dependent cancers . Detection of early and subtle signs of breast cancer requires high-quality images and skilled mammographic interpretation. In order to detect early onset of cancers in breast screening, it is essential to have high-quality images. Radiologists reading mammograms should be trained in the recognition of the signs of early onset of, which may be subtle and may not show typical malignant features. Mammography screening programs have shown to be effective in decreasing breast cancer mortality through the detection and treatment of early onset of breast cancers.

          Emotional disturbances are known to occur in patient's suffering from malignant diseases even after treatment. This is mainly because of a fear of death, which modifies Quality Of Life (QOL). Desai et al.,reported an immuno histo chemical analysis of steroid receptor status in 798 cases of breast tumors encountered in Indian patients, suggests that breast cancer seen in the Indian population may be biologically different from that encountered in western practice. Most imaging studies and biopsies of the breast are conducted using mammography or ultrasound, in some cases, magnetic resonance (MR) imaging . Although by now some progress has been achieved, there are still remaining challenges and directions for future research such as developing better enhancement and segmentation algorithms. 

PROJECT OUTPUT

 Fig: Project Output

 

Contact:  

Prof. Roshan P. Helonde

Mobile / WhatsApp:+91-7276355704

Email: roshanphelonde@rediffmail.com

Read More