Satellite Image Resolution Enhancement Using Contrast Limited Adaptive Histogram Equalization

Satellite images are being used in many fields of research. Resolution and contrast are the two important attributes of an image. This project deals with the enhancement of the quality of the image. Enhancement is used to make it easier for visual interpretation and understanding of imagery. The enhancement is done both with respect to the resolution and contrast. The advantage of digital imagery allows us to manipulate the digital pixel values in an image. Over the years, a variety of methods have been introduced to remove noise from digital images, such as Gaussian filtering, anisotropic filtering. This project deals with a new satellite image resolution enhancement technique based on the Contrast limited Adaptive Histogram Equalization (CLAHE) method, which proved that to be a simple and most effective technique for contrast enhancement of digital images. This project will yield better PSNR and MSE values. The experimental results show the superiority of the proposed method over conventional techniques.