Affiliations: Department of Electronics and Communication, Karunya University, Coimbatore, India
Correspondence:
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Corresponding author: P. Eben Sophia, Department of ECE, Karunya University, Karunya Nagar, Coimbatore - 641114, India. Tel.: +91 9486078177; E-mail:ebensophia@gmail.com
Abstract: Low bit rate compression approach has been proposed for easy transmission of
medical image from one place to another. Contourlet transform technique is
used for obtaining multi directional subbands and for capturing the fine
details of the image. Transformed coefficients are then normalized using a
mathematical approach for each subbands, followed by quantization and
encoding. Arithmetic coding techniques are used for entropy encoding.
Experimental results shows that the visual quality as well as the
compression ratio of the reconstructed image is high compared to the
existing wavelet based compression technique at low bit rates. Contextual
compression is well supported for such conditions where the unwanted regions
are compressed lossy, but with good visual quality. The result of the
proposed method shows better compression performance with good visual
quality at low bit rates.
Keywords: Digital imaging and communications in medicine (DICOM), compression, magnetic resonance imaging (MRI), contourlet transform
