Super-Resolution Image Processing: Synthesizing Pixels from Multiple Images
Super-resolution image processing extracts pixels from several images and synthesizes them to generate new, clearer images using advanced computational techniques
Random Forest for Image Processing
Random Forest for Image Processing with MATLAB Implementation
Fuzzy C-Means Clustering Algorithm for Image Classification and Processing
Implementation of Fuzzy C-Means Clustering Algorithm for image classification, digital image processing, multi-category segmentation, and SAR image classification with enhanced feature extraction methods.
Adaptive Threshold Binarization for Image Processing
Recently implemented adaptive threshold binarization image processing with practical application, includes two sample images demonstrating the effect. Suitable for experimental use with code implementation using methods like Otsu's algorithm or local mean calculation.
Second Generation Discrete Curvelet Transform Source Code
Source code implementation of the Second Generation Discrete Curvelet Transform including image processing applications with algorithm implementation details
MATLAB Implementation of JPEG2000 with Algorithm Explanation and Code Examples
Complete MATLAB implementation of JPEG2000 including presentation slides. Highly beneficial for image processing enthusiasts and JPEG2000 researchers, featuring wavelet transform implementations, quantization techniques, and entropy coding algorithms.
Wavelet Transform-Based Image Processing with MATLAB
MATLAB implementation of wavelet transform for image processing applications including image segmentation and fusion techniques, featuring code examples for multi-level decomposition and reconstruction using wavelet functions.
MATLAB Implementation of Histogram Equalization for Image Enhancement
This program implements histogram equalization to achieve image enhancement effects, which is a crucial component in digital image processing. The code processes image histogram distribution to improve contrast and visual quality.
Image Processing Based on Wavelet Transform
Approximately 10 MATLAB-based image processing programs utilizing wavelet transform! (M-files with implementations for denoising, edge detection, and image enhancement)
Learning and Training of Deep Boltzmann Machine (DBM) - A Novel Neural Network Approach with MATLAB Implementation
MATLAB code implementation for learning and training of Deep Boltzmann Machines (DBM), a novel neural network architecture with significant applications in pattern recognition and image processing domains. This resource provides practical coding examples and algorithm explanations suitable for researchers and learners to study and adapt.