MATLAB Code Implementation for Image Enhancement

Image Enhancement with MATLAB Program - Image Enhancement Techniques

Image enhancement is a technique used to improve image quality by processing and adjusting images to enhance brightness, contrast, sharpness, and other visual aspects, resulting in clearer and more vivid images. MATLAB provides a comprehensive platform for implementing image enhancement algorithms through its Image Processing Toolbox, which includes functions like histeq for histogram equalization, imadjust for contrast adjustment, and medfilt2 for noise reduction. Common enhancement approaches include spatial domain methods (direct pixel manipulation) and frequency domain methods (Fourier transform-based filtering). These techniques find applications across various fields including medical imaging, autonomous driving, and security surveillance systems. By implementing image enhancement algorithms in MATLAB, developers can improve image visualization quality and enhance information extraction capabilities through practical code implementations such as adaptive filtering, gamma correction, and edge detection algorithms.