Biomedical Image Processing with Improved SPIHT Algorithm and optimized Curvelet Transform Technique

The prime idea is to propose an effective compression technique obtaining improved PSNR and better compression ratio (CR) with Curvelet transformation technique and encoding the multi-wavelet parameters using Set Partitioning In Hierarchical Trees (SPIHT) algorithm. Also a comparative study is presented which highlights a dynamic image encoding algorithm against the conventional algorithms such as SVM, EZW & SPECK. Both quantitative and qualitative parameters of algorithm are analyzed for bio-medical images. Analysis inferences represents that the proposed technique treats structures and patterns considerably superior than conventional techniques.