This website is about MATLAB projects, Image processing projects, Audio processing projects and video processing projects. All projects are implemented in MATLAB. It is developed by Dr. A. R. Nichal from Adarsh Institute of Technology & Research Centre, Vita
In the constantly changing field of cybersecurity, reliable
encryption techniques are now essential. Elliptic Curve Cryptography is one
such encryption method that has become well-known for its effectiveness and
security (ECC). The underlying ideas of ECC, its uses, and the subtleties of
the encryption and decryption procedures are all covered in this blog post.
The Elliptic Curve Cryptography (ECC): An Overview
What is ECC?
Facial recognition has become a very popular technology in recent years, and one of the most commonly used algorithms for this task is Principal Component Analysis (PCA). In this blog post, we will explore how to implement a face recognition system using PCA in MATLAB, a popular programming language for scientific computing.
Face recognition is a challenging problem that involves detecting and identifying human faces from images or videos. One approach to solving this problem is to use PCA for feature extraction. The idea behind PCA is to transform the original high-dimensional image data into a lower-dimensional space while preserving as much information as possible.
JPEG2000 is an image compression standard that is widely used in various fields, such as digital photography, medical imaging, and satellite imagery. It provides higher compression ratios and better image quality than its predecessor, JPEG. In this blog post, we will discuss how to implement JPEG2000 image compression using MATLAB code.
The JPEG2000 image compression process involves four main steps: Discrete Wavelet Transform (DWT), Quantization, Entropy Coding, and Bitstream Formation. Let's discuss each step in detail and see how to implement them in MATLAB.
The cellular part of blood molecule contains several different cell types. One of the most important and the most numerous cell types are red blood cells. The other cell types are the white blood cells and platelets. Anemia is the most common disorder of the blood. “Anemia”, the name is derivative from the ancient Greek word anaimia, which means “Lack of Blood”. It is possible because of reduction in Red Blood Cells (RBCs) or resulting in lesser than normal quantity of haemoglobin in the blood. However, it can also include decreased oxygenbinding ability of each haemoglobin molecule due to deformity or lack in numerical development. Anemia is actually a sign of a disease process rather than being a disease itself. It can be either classified as acute or chronic. In chronic anemia, symptoms typically begin slowly and progress gradually; whereas in acute anemia, symptoms can be abrupt and more distressing. Among many factors, both nutritional (like vitamins and mineral deficiencies) and nonnutritional (like infection and haemoglobinopathies), that contribute to the onset of anemia; Iron Insuffiency and malaria plays a significant role. For men, anemia is typically defined as hemoglobin level of less than 13.5 g/dl and in women as hemoglobin of less than 12.0 g/dl.
Hello friends, Today posting project in the field of image denoising. A picture is often distorted by noise in it acquisition and transfer. Therefore, noise reduction is A necessary step for any complex image processing algorithm. Debt reduction or noise reduction has been the subject of a permanent study for engineers and scientists and one reason for this is the lack of a single process, capable of performing a wide range of denoising photographic category. Or, traditional noise removal techniques such as Wiener filters have been around for a long time time for their simplicity and ability to achieve significant noise removal when the noise variation is low, causes blurring and smoothing out the sharp edges of the image. This post including dual use of curvelet transform, curvelet convert curve and curvelet transform with USFFT using two sorting methods such as hard and half threshold reconstruction.
Hello Guys, this post is about MATLAB implementation of video encryption and decryption technique. Due to the rapid development of various multimedia technology, more multimedia information available developed and transferred to clinical, industrial, and marine operations Fields, however, may also have a few relevant records which should not be obtained through or by hand slightly open to normal users. as a result, protection and privacy have grown into a priority. The main purpose of encryption is to keep the data secure unauthorized attackers. as a result the statistics are encrypted through the encryption process.
Hello friends, posting new project in the field of information security. The project is based on cryptography. The title of the project is Image encryption using fractional fourier transform and chaotic system. The matlab implementation of the project is shown in following YouTube video just have a look.
Hello friends today I, would like to post one MATLAB project. This project is in the filed of Information Security. Now days information security and steganography fields gain much importance. Today posting one project in the field of video steganography. the title is "Video Steganography using Motion vector".
The process steganography having two main properties
1. Imperceptibility
2. High hiding capacity
Hello, Guys today posting a new project in the field of video processing. The title of the project is video steganography based on improved LSB (Least significant bit) substitution. Steganography plays the most important role in information security. Implementation of Video steganography has the biggest hurdles. We will see these hurdles afterward. The matlab implementation of the video steganography using improved LSB is shown in the following YouTube video. Just have a look.