MATLAB-Based Image Processing Programs

This collection includes various image processing programs such as mirroring, flipping, white balance adjustment, and sharpening operations. The implementation uses MATLAB's Image Processing Toolbox functions: mirroring can be achieved through matrix dimension manipulation using flipdim() or flip() functions, flipping utilizes geometric transformation algorithms, white balance employs color correction techniques like gray world assumption or perfect reflector methods, while sharpening applies convolution filters such as Laplacian or unsharp masking. Additional image processing capabilities can be integrated including exposure adjustment using histogram equalization (histeq() function), color correction through color space transformations (rgb2hsv()/hsv2rgb()), noise removal with median filtering (medfilt2()) or Wiener filtering, and blur effects using Gaussian filters (fspecial('gaussian')). These programs help enhance image quality by improving clarity, color vibrancy, and professional appearance through systematic pixel-level operations and frequency domain transformations.