MATLAB Adaptive Image Enhancement Code
Implements image enhancement principles to achieve effective image quality improvement - proven through practical testing with code implementations
MATLAB Implementation of Wavelet Transform Applications
MATLAB programs based on wavelet transform applications, featuring image enhancement, image decomposition, image denoising, and image fusion with comprehensive code implementation details
Wavelet Transform Techniques for Image Enhancement
Image Enhancement Using Wavelet Transform: A Non-Subsampled Wavelet Decomposition Approach for Processing High-Frequency Coefficients and Reconstruction
Chapter 13: MATLAB Image Enhancement Techniques
Chapter 13: MATLAB Image Enhancement - 13.1 Gray-scale Transformation Enhancement (Pixel Values & Statistical Properties, Histogram Gray-scale Transformation, Histogram Equalization, Histogram Specification) - 13.2 Spatial Filtering Enhancement (Smoothing Filters, Sharpening Filters) - 13.3 Frequency Domain Enhancement (Low-pass Filters, High-pass Filters, Homomorphic Filters, Frequency Domain Enhancement MATLAB Examples) - 13.4 Color Enhancement (True Color Enhancement, Pseudo-color Enhancement) - 13.5 Wavelet Enhancement
Research on Vehicle Traffic Counting Using Area-Based Method
This paper focuses on studying area-based methods for vehicle traffic counting. The research algorithm development involves fundamental image processing techniques for vehicle detection including grayscale conversion, filtering, image enhancement, and sharpening, with comparative analysis of their algorithmic implementations. The study further employs image segmentation technologies such as threshold segmentation, edge detection, and morphological operations, along with vehicle detection and extraction algorithms. Finally, a real-time and reliable counting algorithm is designed.
MATLAB Code Implementation for Image Processing
MATLAB image processing techniques covering histograms, image transforms, spatial filtering (image enhancement using templates), and edge detection operators with practical code implementations.
Image Enhancement Using Dyadic Wavelet Transform
Learn dyadic wavelet transform for image enhancement with practical examples demonstrating non-linear enhancement techniques, including implementation approaches and key algorithm considerations.
MATLAB Implementation of Filter-Based Image Enhancement
Algorithm implementation program for filter-based image enhancement in MATLAB. This custom-developed code demonstrates practical image processing techniques using various filtering approaches.
MATLAB Implementation of the Retinex Algorithm for Image Enhancement
Implementation of the Retinex algorithm for image enhancement, significantly improving image quality with code examples demonstrating key processing steps.
MATLAB Code Implementation for Image Enhancement
An image enhancement program written in MATLAB, designed to handle overexposed and underexposed images using straightforward methodologies.