Image Compression Using Singular Value Decomposition
Implementation of image compression based on Singular Value Decomposition, providing code examples for both grayscale and RGB true-color image compression with algorithmic explanations.
Spherical Projection for Original Images
Perform spherical projection on original images with included sample images; supports both color and grayscale image processing with practical implementation
Image Inpainting Using Partial Differential Equation Methods
Implementing partial differential equation approaches for image restoration, capable of processing both grayscale and color images with algorithm-driven pixel reconstruction
Recognition of Candidate ID Numbers on Answer Sheets with Image Processing Techniques
Identification of candidate ID numbers on answer sheets through grayscale conversion and image segmentation techniques, including practical applications for website development and enhancement.
An Image Restoration Approach Using CDD for Grayscale and Color Images
A methodology employing CDD (Contextual Data-Driven) techniques for restoring damaged grayscale or color images with implementation insights
MATLAB Image Segmentation Code Based on Grayscale Thresholding
Custom-developed image segmentation algorithm that partitions images using grayscale intensity analysis, with adjustable parameters for flexible application across various computer vision tasks.
Image Clustering in Image Processing Technology
A program for image clustering in image processing technology, designed to extract regions sharing identical grayscale values or other attributes from an image area.
MATLAB Image Scaling Code Implementation
This MATLAB-based image scaling code supports both grayscale and color image resizing with fractional scaling factors, featuring interpolation algorithms and practical implementation examples ideal for digital image processing beginners.
Collaborative Communication: Image Classification using PCA with Grayscale and Texture Features
MATLAB program for image classification based on Principal Component Analysis, grayscale/color features, and texture analysis using Gray-Level Co-occurrence Matrix (GLCM), complete with sample images and implementation details.
Grayscale Digital Watermark Embedding Algorithm Based on Wavelet Transform
A MATLAB-implemented grayscale digital watermark embedding algorithm utilizing wavelet transform, complete with original research paper. While functional, the implementation has room for optimization and welcomes community improvements in areas like embedding strength optimization and wavelet coefficient selection.