Image Encryption and Decryption
Digital image processing with encryption and decryption methodologies
Blind Deconvolution Iterative Algorithm for Image Restoration
This MATLAB source code implements a blind deconvolution iterative algorithm for image restoration, which provides significant benefits for digital image processing education and practical implementation with built-in algorithmic demonstrations.
MATLAB Implementation for Digital Image Processing: Image Skeletonization
Digital Image Processing: Image Skeletonization Program Using Medial Axis Transformation Method with Algorithm Explanation
Algorithm and Implementation for Digital Image Rotation Using MATLAB
Comprehensive algorithm explanation and MATLAB implementation for digital image rotation techniques
MATLAB Digital Image Fusion
An excellent introductory program for learning image fusion techniques, implementing image transformations, applying fusion strategies in the transform domain, and performing inverse transformations to complete the fusion process
GUI Design for Image Grayscale Processing
Research on digital image grayscale processing software based on MATLAB, designing a visual and operational GUI interface using MATLAB's built-in functions. The interface incorporates the following functionalities: (1) Digital image cropping transformation: Allows users to crop specific regions of interest from images. (2) Horizontal and vertical mirroring operations: Includes both horizontal and vertical mirror transformations. (3) Image enhancement techniques: Utilizes mean filter technology for noise reduction and smoothing to improve visual quality and highlight specific features.
Digital Image Non-Local Means Algorithm Implementation
The digital image non-local means algorithm proves highly effective in image denoising applications. After personal experimentation, I can confirm its excellent performance and practical value.
Huffman Coding Algorithm for Digital Image Compression and Decompression
Implementation of Huffman coding algorithm for digital image compression and decompression processing, where the decompressed image is nearly identical to the source image with infinite peak signal-to-noise ratio
Detecting Circle Radius in Digital Images
Methods for detecting circle radius, center coordinates, and implementation programs in digital images with algorithmic explanations
MATLAB Image Segmentation: Techniques and Implementation
Image segmentation is the process of partitioning digital images into segments (sets of pixels, also known as superpixels). This technique simplifies and/or transforms image representation to make it more meaningful and easier to analyze [1][2]. Image segmentation is commonly used to locate objects and boundaries (lines, curves, etc.) by assigning labels to each pixel such that pixels with same labels share specific characteristics. Implementation approaches include thresholding, region-growing, and clustering algorithms.