Algorithmic Analysis on Medical Image Compression Using Improved Rider Optimization Algorithm

This paper offers a medical image compression scheme that includes three stages, namely segmentation (modified region growing (MRG) algorithm), image compression (ROI-discrete cosine transform (DCT) and SPHIT encoding methods, non-ROI-discrete wavelet transform (DWT) and merge-based Huffman encoding (MHE)). Subsequently, the filter coefficients of both the DCT and DWT are optimized using improvised steering angle and gear-based ROA (ISG-ROA). Finally, decompression stage takes place by adopting the reverse process of compression with similar optimized coefficients. Here, the filter coefficients are tuned in such a way that the CR has to be minimal. In addition, an algorithmic analysis is carried out for the proposed model and the outcomes are discussed.