A New Modified Fast Fractal Image Compression Algorithm in DCT Domain

Abstract

Medical Image Processing is the technique of analysing medical image such as CT, MRI for diagnostic and treatment purpose. The role of image compression is vital in domain of tele medicine for storage and transmission of medical data. In this project transform domain based compression algorithm is employed for the efficient compression and transfer of medical data. The Discrete Cosine Transform (DCT) based fractal image compression algorithm is employed for real time CT medical image. The result is validated by performance metrics Peak Signal to Noise Ratio (PSNR) and compression ratio. The algorithm was developed in MATLAB 2010a.

Comparison of Fractal Image Compression Techniques

“…The creation of effective domain search methods has as a consequence become one of the active areas of study in the field of fractal coding, and as a result, a diverse variety of methods has been produced. It is necessary to examine the different methods for FIC that have been suggested in the works to increase its performance [4][5][6]. A difficult task is identifying which domain block can be managed to make the closest to a provided range block by an admissible transform for every range block because needing that range matches a transformed version of a domain block makes finding the optimal domain block for a provided range block more difficult.…”

“…As a consequence, it is very challenging to make the expressive evaluation among both relative benefits of different options in every area. This review study is mainly designed to provide a summary of various approaches that have been examined in the four different domains to identify the best domain(s) for fractal theorybased medical picture compression [6].…”