Comparative Study And Hybrid Technique For Biomidical Image Compression

Download or read book Comparative Study and Hybrid Technique for Biomidical Image Compression written by Mohamed Nagy Saad Mohamed Elziftawy and published by LAP Lambert Academic Publishing. This book was released on 2012-03 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this study is to maximize the compression ratio while preserving images' information. The study has considered a set of images from both medical and biometric modalities. The dataset is subjected to four compression techniques which include both lossless and lossy techniques. The lossless techniques are Huffman and Arithmetic. The lossy techniques are Discrete Cosine Transform and Wavelet Transform. The maximum compression ratio for each image is chosen by three experts (for the medical dataset); while an identification software is used for biometric dataset. The next enhancement is done by isolating the region of interest in the image then applying the compression procedure. The last enhancement is the hybrid process which combines the lossless compression technique for the essential regions, and the lossy compression technique for the nonessential regions.This could be done using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process.