An Analysis of Image Quality Enhancement Techniques in an Optical Based Satellite Image

the main objective of this work is to improve the quality of the images that are captured by satellites from the outer region of the Earth. Here the satellite image of Vishakhapatnam is being considered. Generally, satellite images are hugely affected due to some severe climatic conditions i.e.; the image is caught up by a cloud of fine dust or smoke, which causes a cloudy appearance on the image and hence reduces the visibility. It is nothing but the Haze or fog which generally occurs in winter and rainy seasons. It is very important to capture the image in order to keep a record of information which will be used further for future applications. There are a number of parameters for determining the quality of an image, but we can never get the ideal image. So, our aim is to get the best possible image with a minimum number of errors. In order to get a good and useful image, the image needs to undergo several methods. Hence, we use Image processing which transforms an image into its digital form and performs certain operations on the image to get some useful information from it. Here, the 2D images are treated as signals while applying certain processing methods. In this analysis, an image goes under quality metrics by testing and comparing with the given original image. The original image that is captured gets compared with the images that are produced at each level in the quality process. The main aim is to remove Haze present in the satellite image and to study the impact of every process discussed in the workflow with respect to PSNR values and visual comparison. The result obtained from the workflow is very promising. Thus, enabling the analyst to perform different processing for different applications.