One of the most significant and challenging methods in image research is picture enhancement. Enhancing a picture's attractiveness visually or offering a "better transform representation for future automated image processing" is the goal of image enhancement. A lot of photos, including real-world photos, satellite photos, aerial photos, and medical photos, include noise and low contrast. To improve the quality of the image, the contrast and noise must be reduced. Image enhancement techniques, which increase the quality (clarity) of pictures for human viewing by reducing noise and blur, boosting contrast, and revealing features, are among the most crucial phases in the identification and interpretation of medical images. The method of augmentation varies depending on the field. The two types of picture enhancement techniques that are now in use are spatial domain enhancement and frequency domain enhancement. An overview of spatial domain picture enhancement processing techniques is presented in this work. To be more precise, we classify processing methods according to representative image enhancing approaches.

Effect Of High-Frequency, Spatial Noise, Image Smoothing Ameliorates, Enhancing Picture's.