An Inclusive Analysis on Various Image Enhancement Techniques

Abstract

Image enhancement is a process of enhancing the visual quality of images due to nonideal image acquisition process. It emphasizes and sharpens the image features for display and analysis. The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to providebetter' input for other automated image processing techniques. The enhancement doesn't increase the inherent information content of the data, but it increases the range of the selected features so that they can be detected easily. The major difficulty in image enhancement is quantifying the criterion for enhancement and therefore, a large number of image enhancement techniques are empirical and require interactive procedures to obtain satisfactory results. Abstract: Digital Image enhancement is the process of adjusting digital images so that the results are more suitable for display or further image analysis. It provides a multitude of choices for improving the visual quality of images or to provide a better transform representation for future automated image processing. The enhancement technique differs from one field to another field. The existing techniques of image enhancement can be classified into two categories: Spatial Domain and Frequency domain enhancement. Many images like satellite images, medical images, aerial images and even real life photographs suffer from poor contrast and noise. It improves the quality (clarity) of images for human viewing by eradicating blurs, noise, increasing contrast, and revealing image details.