Discrete Cosine Transform for Grayscale and Color Images
Implementation of Discrete Cosine Transform (DCT) for grayscale and color images, with appropriate DCT coefficient threshold selection for inverse DCT transformation.
Explore MATLAB source code curated for "彩色图像" with clean implementations, documentation, and examples.
Implementation of Discrete Cosine Transform (DCT) for grayscale and color images, with appropriate DCT coefficient threshold selection for inverse DCT transformation.
Detecting hard exudates in diabetic retinopathy fundus images through a multi-stage image processing pipeline involving grayscale conversion, morphological operations, background removal, and threshold segmentation, with final annotation of detected regions using green markers on the original image.
This study analyzes and compares the advantages and disadvantages of mean filtering and median filtering techniques for color image processing, including implementation approaches and algorithm characteristics.
Bilateral filter algorithm implementation for color images, achieving excellent processing results with edge-preserving noise reduction capabilities.
While MATLAB typically performs wavelet transforms on grayscale images, this program implements wavelet transformation specifically for color images, extending traditional monochromatic analysis to RGB channels with multi-level decomposition capabilities.
This package contains bit plane decomposition of an image, demonstrating how a grayscale image can be separated into eight bit planes. This technique is particularly useful for converting grayscale images to color images through algorithmic processing.
After execution, the color image road recognition program extracts a specific region from the image, calculates the mean and variance of color values, and produces analytical results for road identification.
Wavelet fusion applied to color images significantly enhances visual quality by integrating multi-scale and multi-directional wavelet coefficients.
Performing read/write operations on color images with transformations to obtain various image types such as grayscale images, including code implementation approaches and key functions.
MATLAB-based algorithm and implementation for skin region segmentation in color images, including theoretical principles, experimental validation, and code-level implementation details