Journals Proceedings

Abstract

The field of remote sensing and image processing are constantly evolving in the last decade. At present there are many enhancement techniques which are used for remote sensing image processing. The contrast of remote sensing images is low, which may include various types of noises. In order to make full use of remote sensing image information, the original image has to be enhanced. This paper presents different technologies which are recently proposed for remote sensing image processing. These techniques overcome the limitations of conventional methods. This represent enhancement methods based on Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT), Multi-Scale Retinex, Singular Value, Adaptive Intensity Transformations, and Dual-Tree Complex Wavelet Transform (DT-CWT). These methods overcome the limitations of the existing methods. Different application area has different requirement for image enhancement. These techniques perform image enhancement in different areas and have unique advantages in different image processing fields.