COMPRESSION OF SATELLITE IMAGES USING ENHANCEDFRACTAL IMAGE COMPRESSION
M. Ramesh · Journal of Critical Reviews · 2020
In Recent days Remote Sensing becomes the most popular areas to explore the geographical information. The rapid growth of remote sensing applications needs an effective and standardized image compression technique to process it. As the Remote Sensing Images (RSI) contain huge amount of diverse geographical information. Since the decomposition of mixed pixel degrades the success of Image Compression. Although many schemes available to speed up encoding, they do not easily satisfy the encoding time or the reconstructed image quality requirements. Fractal Geometry set a way for describing and analyzing the complexity of diverse features of RSI. The Fractal Image Compression (FIC) is with high compression ratio even as maintaining a high quality of reconstructed image. But it suffers from very high computational time / cost associated with the encoding stage. In order to speed up characteristics an Enhanced FIC method incorporating Spiral partitioning with Bio Geography Based optimization technique is employed which results in better performance of the practical applications.