A Novel Approach on Discrete Cosion Transform Based Image Compression Technique for Lung Cancer
T. Karthikeyan1 and C. Thirumoorthi 2*
1Department of Computer Science, PSG College of Arts and Science, Coimbatore, India.
2Research Scholar, Bharathiar University, Coimbatore, Department of Computer Science, Hindustan College of Arts and Science, Coimbatore, India.
Corresponding Author E-mail: cthirumoorthymca@gmail.com
DOI : http://dx.doi.org/10.13005/bbra/2317
ABSTRACT: In medical field the volume of medical image data produced every day is ever growing, particularly in grouping with the improved scanning resolutions and the importance of volumetric medical image data sets. In this work, five image compression methods are simulated. They are Karhunen-Loève Transform (KLT), Walsh-Hadamard Transform (WHT), Fast Fourier Transform (FFT), proposed Sparse Fast Fourier Transform (SFFT) and Discrete Cosine Transform (DCT). The results of simulation are shown and compared different quality parameters of it are by applying on various lung cancer CT Scan medical images. The DCT method algorithm was given better results like Compression Ratio (CR), Structural Content (SC), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) compare to other Transform methods. The DCT technique given improved result compared with other methods in all evaluation measures.
KEYWORDS: Image compression; KLT; WHT; FFT; SFFT; DCT; lung cancer CT images; CR; SC; MSE; PSNR
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Copy the following to cite this article: Karthikeyan T, Thirumoorthi C. A Novel Approach on Discrete Cosion Transform Based Image Compression Technique for Lung Cancer. Biosci Biotech Res Asia 2016;13(3). |
Copy the following to cite this URL: Karthikeyan T, Thirumoorthi C. A Novel Approach on Discrete Cosion Transform Based Image Compression Technique for Lung Cancer. Biosci Biotech Res Asia 2016;13(3). Available from: https://www.biotech-asia.org/?p=15521 |