CONTRAST IMPROVEMENT OF SATELLITE IMAGES USING DWT AND SHARPNESS PRESERVING ALGORITHMS

This paper present contrast enhancement technique for satellite images using dwt and sharpness preserving algorithms. The images taken from satellites are used for a variety of applications but the images taken are not very enhanced and may contain blurry or less contrast. Despite the growing demand for better remote sensing images different methodology was proposed but they are not able to preserve edge details and saturation of the images having low and high intensity areas. Histogram equalization (HE) has been the most popular approach to enhancing the contrast in various applications. But cannot maintain edge detail and cannot preserve the average brightness of the image, which can be under-or over-saturation in the processed image. The proposed algorithm overcomes this problem using the efficient technique used for enhanced the contrast of satellite images using decomposition of dominant brightness level, adaptive intensity transfer function, boundary smoothing and canny edge detection techniques. Experimental results shows, that the proposed algorithm improves the contrast and the perspective of the local details is better than existing techniques and preserves the edge detail in the image. The proposed method can effectively enhance any low-contrast images and maintain the edge contingent acquired by a satellite camera and is also suitable for other various imaging devices such as consumer digital cameras, photorealistic 3-D reconstruction systems, and computational cameras.