Gray-level Slicing, Direct Gray-level Transformation, Histogram Specification, Histogram Equalization

This package includes multiple MATLAB programs implementing essential image processing operations. The primary techniques covered are gray-level slicing, direct gray-level transformation, histogram specification, and histogram equalization. These programs are designed for image processing applications, enabling various image adjustments and enhancements. For instance, gray-level slicing algorithms partition images into distinct regions based on predefined gray-level thresholds, facilitating specialized processing for different intensity ranges through conditional statements and logical indexing. Direct gray-level transformation techniques apply mathematical operations like logarithmic, power-law, or linear transformations directly to pixel values using array operations, effectively modifying overall brightness and contrast characteristics. Histogram specification algorithms reshape image pixel distributions to match targeted reference histograms through cumulative distribution function matching, improving image quality and visual appearance by redistributing intensity values systematically. Histogram equalization implementations enhance image contrast and detail visibility by automatically redistributing pixel values to achieve uniform histogram distributions, typically using histogram calculation and transformation functions. These programs provide practical implementations for advanced image processing and optimization tasks, incorporating essential MATLAB functions like imadjust, histeq, and custom transformation algorithms for professional-grade results.