MATLAB code of image enhancement based on adaptive gamma correction and weighting distribution

Hello, friends today I would like to post one project in the field of image enhancement. The title of the project is image enhancement based on adaptive gamma correction and weighting distribution. Image enhancement is the process of improving the quality of the image. Image detail enhancement algorithms can increase the visual appearance of images. They enhance fine details while avoid halo artifacts and gradient reversal artifacts around edges. The detail enhancement technique is a widely used image editing tool. Existing detail enhancement algorithms are based on edge-preserving decomposition algorithms.

MATLAB code of Image steganography based on pixel value difference and random pixel positioning

Hello, friends today I would like to post one project in the field of information security. This code is about MATLAB implementation of Image steganography based on pixel value difference and random pixel positioning. Text, image, audio, and video can be represented as digital data. The explosion of Internet applications leads people into the digital world, and communication via digital data becomes frequent. However, new issues also arose, such as data security in digital communications, copyright protection of digitized properties, invisible communication via digital media, etc. So to overcome the above issues the different steganography methods are evolved. The YouTube video of this project is shown below. just have a look.

MATLAB code of medical image compression using DWT - with and without Huffman encoding

Hello, friends posting one project in the field of information security. the title of the project is medical image compression using DWT - with and without Huffman encoding. basically, medical images require storage space so there is a need to compress such images. In this project, we have compressed medical mammogram images. These images are in Dicom format. DICOM is most commonly used for storing and transmitting medical images enabling the integration of medical imaging devices such as scanners, servers, workstations, printers, network hardware, and picture archiving and communication systems (PACS) from multiple manufacturers. The medical image compression with DWT and Huffman encoding is shown in the following Youtube video. Just have a look.

MATLAB code of high capacity steganography for JPEG2000 baseline system

For JPEG2000 compression standard limited redundancy and bitstream, truncation makes it difficult to hide information. To overcome these two problems redundancy evaluation method is used. The redundancy evaluation method determines embedding depth adaptively for increasing hiding capacity. A candidate embedding point will be removed if evaluated quantization redundancy is less than two. For security purpose secret message is encrypted by using an encryption key. At the decoder side, the exact inverse procedure is used for the extraction of the secret message. The matlab implementation of the code is shown in the following youtube video.

MATLAB code of fake biometric detection application to thumb recognition

Hello, friends today I would like to post a MATLAB project in the field of biometric detection. In the last two posts, we have seen the fake biometric detection application to iris an face. this post is about thumb recognition. The current development of the Biometric framework expanded so there is a requirement for insurance of that framework. Picture quality evaluation is the method utilized for recognizing genuine and counterfeit picture. It likewise gives multi-biometric and multi assault assurance highlight to the framework because of this the security level is expanded. The YouTube video of this project is as below. Just have a look.

MATLAB code of fake biometric detection application to iris recognition

Hello, friends today posting one project in the field of biometric. In the last post, we have seen a fake biometric detection application to face recognition. But this post is about fake biometric detection application to iris recognition. The problem of fake biometric detection can be seen as a two-class, classification problem where an input biometric sample has to be assigned to one of two classes: real or fake. In the present work, we propose a novel parameterization using 25 general image quality measures. As the method operates on the whole image without searching for any trait-specific properties, it does not require any pre-processing steps (fingerprint segmentation, iris detection or face extraction). This characteristic minimizes its computational load. Once the feature vector has been generated the sample is classified as real (generated by a genuine trait) or fake (synthetically produced), using some simple classifiers. The parameterization proposed in the present work comprises 25 image quality measures both reference and blind. The following YouTube video shows the working of the project.

MATLAB code of fake biometric detection application to face recognition

Hello, friends today posting one project in the field of image processing. Biometric is a technological system that utilizations the data about individuals to distinguish that individual. This technology store particular information for one of kind organic properties so as to work viably. We can utilize biometric framework at government, organizations, and associations for security reason. An airplane terminal checking gadget, a "bio-secret key" framework is a case of a biometric system utilizations the recognizing information for a security result. Be that as it may, we require security for this data and in addition verification of that individual. This novel software-based technology help to look at the data of an individual is genuine or counterfeit because of that we get the last aftereffect of validation. Consequently, the goal of the framework is to enhance the wellbeing of the biometric acknowledgment system which makes quick, easy to understand, and minimal effort using image quality assessment. The MATLAB project video is as below. Just have a look.

MATLAB code of high capacity steganography with color image and alpha channel

Hello friends, today posting one project in the field of Steganography. The specialty of this algorithm is it uses alpha channel for secrete data embedding. In this algorithm, the transmitter analyzes the cover (digital image) to determine the color channels and adds the fourth channel (Alpha channel) changing the extension of the image from JPG to PNG with non-pre-multiplied background channel. This transformation of image extension and bit-depth will prepare the cover image to accommodate the secret data. In parallel, the secret image which is a gray image or color image, decomposed to a bitstream using Bit-plane slicing to compress it and decreasing the total amount of data to be embedded, also to convert the image to a sequence of bits that will be more controllable and easy to implement and embed. The data then encrypted to increase the level of security. The Matlab implementation of the project is shown in the following YouTube video. Just have a look.

MATLAB code of Image Demosaicing

Image demosaicing is a problem of interpolating full-resolution color images from so-called color-filter-array (CFA) samples. Among various CFA patterns, Bayer pattern has been the most popular choice, and the demosaicing of Bayer pattern has attracted renewed interest in recent years partially due to the increased availability of source codes/executables in response to the principle of “reproducible research”. Image demosaicing is used to reconstruct a full-color image from the incomplete color samples output from an image sensor overlaid with a color filter array (CFA). It is also known as CFA interpolation or color reconstruction. The MATLAB implementation of image demosaicing is shown in the following YouTube video. Just have a look.

MATLAB code of Content-Based Image Retrieval (CBIR)

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. The interest in CBIR has grown because of the limitations inherent in metadata-based systems, as well as the large range of possible uses for efficient image retrieval. Textual information about images can be easily searched using existing technology, but this requires humans to manually describe each image in the database. This can be impractical for very large databases or for images that are generated automatically. The MATLAB Implementation of the CBIR is shown in following YouTube video.

MATLAB code of Improved LSB Image steganography using status bit along with AES Encryption

This post is about MATLAB implementation of Improved LSB Image steganography using status bit along with AES Encryption. Most of the authors and researchers have published their findings in improvement in LSB based steganography. But this post includes improvement of LSB based steganography along with secrete data security using AES encryption. The following Youtube video shows the implementation of improved steganography along with Encryption.

MATLAB code of DWT based image Steganography

Hello, friends today posting a new project in the field of information security. There are various types of steganography methods have been proposed by different authors. Some of them are based on LSB, some of them are based on DCT transform. Today's steganography is based on DWT. The working of the code is shown in the following Youtube video. Just have a look.

MATLAB code of Digital Image steganography with AES Encryption and Compression attack.

Hello, Friends today posting a new project in the field of information security. The project title is Digital Image steganography with AES Encryption and Compression attack.

Information security gains much importance in now days. The project working is shown in the following youtube video. just have a look.

MATLAB code of steganography based on contourlet transform

Hello, Friends today posing one project based on information security. The title of the code is steganography based on contourlet transform. The developed algorithm comprises the following steps.

-- Take the cover image

-- Take the secrete image

-- Apply contourlet transform on cover image.

-- Compress secrete image, it has two options lossy compression and lossless compression, user can choose one from two.

-- Embed compressed secrete image into contourlet coefficients of the cover image 

MATLAB code of Steganography - Hiding color image into color image

Hello friends today i am posting one project in the field of information security. This project is about steganography. In this color image is embedded into the color image. The embedding operation is done with the help of bitplane slicing. 

You can learn bittplane slicing in detail from following link.

click here