Image Enhancement Performance Evaluation Metrics
Key performance metrics for image enhancement evaluation: 1. Euclidean Norm Error Metric 2. Equivalent Number of Looks (ENL) 3. Edge Preservation Index (EPI) 4. Contrast Enhancement Index (CEI)
Explore MATLAB source code curated for "对比度增强" with clean implementations, documentation, and examples.
Key performance metrics for image enhancement evaluation: 1. Euclidean Norm Error Metric 2. Equivalent Number of Looks (ENL) 3. Edge Preservation Index (EPI) 4. Contrast Enhancement Index (CEI)
Utilizing homomorphic filtering for contrast enhancement and haze removal in images, with extended support for color image processing.
CLAHE: Contrast Limited Adaptive Histogram Equalization stands as one of the most renowned algorithms in image enhancement, widely implemented through histogram processing with adaptive tile-based contrast limiting.
This collection contains MATLAB source code for image processing, featuring implementations of contrast enhancement, histogram equalization, and filtering techniques with detailed code explanations.
Implementation of contrast enhancement techniques in image preprocessing for license plate recognition systems (tested with significant improvement in image clarity and character visibility)
Implementation of Modified Minimum Mean Brightness Error Bi-Histogram Equalization for Enhanced Image Contrast Preservation