Simple Gamma Correction for Images

This MATLAB implementation performs simple gamma correction on images, with two examples provided in the code. The program utilizes MATLAB's image processing capabilities to apply gamma correction, which is a fundamental technique for adjusting image brightness and contrast to enhance visual quality. The algorithm works by applying a power-law transformation to the image pixel values using the formula: output = input^gamma, where different gamma values produce varying effects on image appearance. The implementation includes key functions such as imread() for image loading, double conversion for precision calculations, and imshow() for result visualization. Two distinct examples are included to demonstrate how different gamma parameters (typically values less than 1 for brightness enhancement and greater than 1 for contrast improvement) affect the output. Users can easily adapt this code to perform gamma correction on their own images, achieving improved image quality and optimal visual results through parameter adjustment.