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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 3, MARCH 2018

Medical Image Compression using Block Processing with DCT

Himani, Pawan Kumar Mishra

DOI: 10.17148/IJARCCE.2018.7331

Abstract: To provide an efficient image compression method for medical imaging , an effective approach Discrete Cosine Transform (DCT) with block processing is presented in this paper. To stimulate image transformation, discrete cosine transformation is used first. The discrete cosine transformation transform image into several parts by keeping image visual quality. DCT is most commonly used transformation based on fourier transformation. After successful transformation using DCT method block processing is applied on transformed image. In block processing operations are performed on blocks of image instead processing whole image. In our proposed paper block processing on image is done with 8X8 block. Experimental results shows that block processing with dct compress images faster compared with conventional DCT and older variant of other variant of DCT.



Keywords: Image Compression, Medical Imaging, PSNR, MSE, Compression Ratio (CR), Compression size, Block processing. CT, MRI, PET.

How to Cite:

[1] Himani, Pawan Kumar Mishra, “Medical Image Compression using Block Processing with DCT,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7331