Abstract
A Fractal based Neural Network Radial Basis Function (FNNRBF) for image compression is proposed through this work. Generally, a large amount of data are required to represent digital images where the transmission and storage of such images are time consuming and unrealizable. Hence, image compression technique can be used to reduce the storage and transmission costs. In order to overcome the difficulties a Hybrid Fractal with NNRBF image compression techniques FNNRBF is proposed. The implementation of this technique shows the effectiveness in terms of compression of medical images. Also, a comparative synthesis is performed to prove that the proposed system is capable of compressing the images effectively in terms of Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR) and memory space.
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