Image enhancement refers to the process of improving the visual appearance and interpretability of an image so that important information can be more easily extracted and analyzed. In remote sensing, raw satellite or aerial images often contain distortions, noise, low contrast, or poor brightness due to atmospheric conditions, sensor limitations, or illumination variations. These factors reduce the clarity of the image and make interpretation difficult. Image enhancement techniques are therefore applied to modify the image in such a way that specific features become more distinct and useful for visual or digital interpretation. The main objective of image enhancement is not to change the original information content, but to present it in a more understandable and meaningful form. Image enhancement techniques can broadly be classified into two major categories, namely spatial domain techniques and frequency domain techniques. Spatial domain techniques operate directly on the pixels of the image and involve manipulation of pixel values to improve image quality. One of the most commonly used spatial enhancement methods is contrast enhancement. Many satellite images suffer from low contrast because the range of brightness values is limited. Contrast stretching is a simple technique in which the range of pixel values is expanded to cover the full available range, thereby improving the overall contrast of the image. Histogram equalization is another widely used method that