MATLAB treats images as standard numerical matrices. This matrix-based architecture makes pixel manipulation fast and highly intuitive. Digital Image Representation

imadjust maps intensity values to new values, increasing global contrast. adapthisteq performs Contrast-Limited Adaptive Histogram Equalization (CLAHE), which enhances local contrast. Noise Reduction: imfilter(img, w) applies a custom linear filter matrix

% Contrast enhancement using Histogram Equalization enhanced_img = histeq(gray_img); Use code with caution. 3. Edge Detection and Segmentation

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An image is essentially a matrix of pixel values. MATLAB treats images as standard matrices, making it an ideal environment for matrix-based image manipulation. Image Types in MATLAB

imwrite() : Exports the matrix back into standard file formats (PNG, JPEG, TIFF).