Digital Image Processing Implementation Using MATLAB
Process digital images in MATLAB with gradient operations to compute and visualize gradient maps for edge detection and feature analysis.
Implementation of Digital Image Noise Removal Using Neighborhood Averaging Method
Implementation of digital image denoising using neighborhood averaging method (including M-files and sample images with code demonstrations)
Blind Detection of Copy-Move Forgery in Digital Images
Implementation of blind detection for copy-move forgery in digital images using MATLAB. This compact code demonstrates an efficient algorithm for identifying duplicated regions in digital images without prior knowledge or watermarks.
Fourier Transform of Digital Images
Fourier Transform of digital images featuring the original image after rotation and translation, along with its corresponding frequency spectrum represented in three-dimensional coordinates. Implementation typically involves 2D FFT algorithms and visualization techniques.
Digital Image Copy-Move Tampering Detection
Digital image copy-move tampering detection, featuring keypoint feature extraction and similar block matching algorithms
Fourier Transform of Digital Images using MATLAB
Implementation of digital image Fourier transformation in MATLAB with spectrum visualization and frequency domain analysis
Display of Digital Image Matrix Data and Its Fourier Transform
Techniques covered include: Display of digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform, contrast enhancement through grayscale transformation methods, histogram equalization. Simulation of Gaussian white noise and salt-and-pepper noise effects on images, filtering salt-and-pepper noise using MATLAB's medfilt2 function for 2D median filtering, mean filtering of noisy images using filter2 function, adaptive Wiener filtering for images, image sharpening using five different gradient enhancement methods, high-pass filtering and mask processing techniques, smoothing noisy images with Butterworth low-pass filters, and image sharpening using Butterworth high-pass filters.
Template Matching and Correlation Algorithms for Digital Images with MATLAB Implementation
A custom MATLAB program implementing template matching, correlation algorithms, and sub-pixel techniques, including source code, sample images, templates, and template generation algorithms. Usage instructions: 1) Set the appropriate path 2) Configure threshold parameters 3) Press F5 to execute. Technical support and questions are welcome for optimal user experience.
3D Chaotic Sequence-Based Digital Image Encryption Algorithm
This digital image encryption algorithm based on 3D chaotic sequences represents a sophisticated cryptographic approach with complex implementation requirements.
Rubik's Cube Encryption Transformation for Digital Images Using Chaotic Sequences
This paper presents a Rubik's Cube-based encryption transformation for digital images utilizing chaotic sequences generated through logistic mapping from nonlinear dynamical systems. The implementation includes pseudocode demonstrations for chaotic sequence generation and pixel permutation algorithms.