FFT Based Compression approach for Medical Images

摘要

In this new era, advances in the Image Processing have played an imperative role as catalyst in Medical Imaging. The Digital Medical Images are necessary for the fast and safe diagnosis in the medical field. The objective of medical image compression is to represent medical images reduced data so that they can be stored and transmitted competently. An efficacious diagnosis is possible only when the applied compression algorithm preserves all the required diagnostic information and the resolution of the image. In several medical imaging modalities the output is in the form of raw data and when the data size is relatively small it takes modest time to reconstruct the image. But if the raw data is excessive then the time of processing also increases. This provokes the probe for faster processing which also leads to large data size practical. A Fast Fourier Transform algorithm that is massively parallel and highly pipelined has been developed for processing of such medical images. Subsequently the architectures have been coded using Verilog Hardware Description Language in line with RTL guidelines, simulated and tested for medical images. The proposed algorithm is resulting in PSNR greater than 40dB indicating the quality of reconstructed images that are indistinguishable from original ones. The lower value of Mean Square Error between the compressed and original image confirms to good diagnostic quality of the medical images.