Digital Image Processing

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Integration of HVS into Wavelet Quantiser for Medical Image Compression


Affiliations
1 Department of Information Technology, Jerusalem College of Engineering, Pallikaranai, Chennai, India
2 Department of Electrical and Electronics Engineering, RMK Engineering College, Kavaraipettai, Chennai, India
     

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Recent research in transform based compression techniques has concentrated on wavelet transform due to its superior performance. Compression in transform domain is possible either in the quantization stage or bit allocation stage. In this paper, an approach to compress the image by integrating the human visual system model into the quantization stage of the wavelet transform is presented. Evaluations are performed on medical images and the performance is analysed quantitatively using mean square error and peak signal to noise ratio.

Keywords

Contrast Sensitivity Function, Discrete Wavelet Transform, Human Visual System, Quantization.
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  • Integration of HVS into Wavelet Quantiser for Medical Image Compression

Abstract Views: 226  |  PDF Views: 3

Authors

Marykutty Cyriac
Department of Information Technology, Jerusalem College of Engineering, Pallikaranai, Chennai, India
C. Chellamuthu
Department of Electrical and Electronics Engineering, RMK Engineering College, Kavaraipettai, Chennai, India

Abstract


Recent research in transform based compression techniques has concentrated on wavelet transform due to its superior performance. Compression in transform domain is possible either in the quantization stage or bit allocation stage. In this paper, an approach to compress the image by integrating the human visual system model into the quantization stage of the wavelet transform is presented. Evaluations are performed on medical images and the performance is analysed quantitatively using mean square error and peak signal to noise ratio.

Keywords


Contrast Sensitivity Function, Discrete Wavelet Transform, Human Visual System, Quantization.