Hybrid Image Compression Technique for Medical Image

Recently the developing hybrid method for useful image compression has expanded enormous fame among researchers. The different image compression techniques used in this paper. Image compression is nothing but reduce the size of graphics file without compressing on its quality. This paper represents a proposed system for medical image compression based on hybrid compression technique (DWT and DCT). In Medical fields, compression is needed used for big data storage as well as data transfer for diagnosis. Various compression techniques where used in medical progression. The objective is to achieve advanced compression rate by applying dissimilar compression thresholds for the wavelet coefficients of each DWT band(LL and HH) while DCT transform is applied on(HL and LH) bands with preserving the quality of reconstructed medical image. The engaged coefficients are quantized by using adaptive quantization according to the type of transformation. Quadtree partitioning of variable block sizes with polynomial approximation for lossy image compression. Experimental results show that the coding performance can be significantly improved by the hybrid algorithm.